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Statistics

James T. McClave, Terry T. Sincich

Chapter 7

Inferences Based on a Single Sample: Estimation with Confidence Intervals - all with Video Answers

Educators


Chapter Questions

00:37

Problem 1

Define the target parameter.

Lucas Finney
Lucas Finney
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00:39

Problem 2

What is the confidence coefficient in a $90 \%$ confidence interval for $\mu$ ?

Lucas Finney
Lucas Finney
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00:54

Problem 3

Explain the difference between an interval estimator and a point estimator for $\mu$.

Lucas Finney
Lucas Finney
Numerade Educator
01:15

Problem 4

Explain what is meant by the statement "We are $95 \%$ confident that an interval estimate contains $\mu . "$

Lucas Finney
Lucas Finney
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01:02

Problem 5

Will a large-sample confidence interval be valid if the population from which the sample is taken is not normally distributed? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
00:44

Problem 6

What conditions are required to form a valid large-sample confidence interval for $\mu$ ?

Lucas Finney
Lucas Finney
Numerade Educator
02:37

Problem 7

Find $z_{\alpha / 2}$ for each of the following:
a. $\alpha=.10$
b. $\alpha=.01$
c. $\alpha=.05$
d. $\alpha=.20$

Lucas Finney
Lucas Finney
Numerade Educator
03:30

Problem 8

What is the confidence level of each of the following confidence intervals for $\mu ?$
a. $\bar{x} \pm 2.12\left(\frac{\sigma}{\sqrt{n}}\right)$
b. $\bar{x} \pm 1.69\left(\frac{\sigma}{\sqrt{n}}\right)$ c. $\bar{x} \pm 2.53\left(\frac{\sigma}{\sqrt{n}}\right)$
d. $\bar{x} \pm 1.11\left(\frac{\sigma}{\sqrt{n}}\right)$
e. $\bar{x} \pm .04\left(\frac{\sigma}{\sqrt{n}}\right)$

Lucas Finney
Lucas Finney
Numerade Educator
02:31

Problem 9

A random sample of $n$ measurements was selected from a population with unknown mean $\mu$ and standard deviation $\sigma=20 .$ Calculate a $95 \%$ confidence interval for $\mu$ for each of the following situations:
a. $n=75, \bar{x}=28$
b. $n=200, \bar{x}=102$
c. $n=100, \bar{x}=15$
d. $n=100, \bar{x}=4.05$
e. Is the assumption that the underlying population of measurements is normally distributed necessary to ensure the validity of the confidence intervals in parts a-d? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
01:38

Problem 10

A random sample of 86 observations produced a mean $\bar{x}=26.1$ and a standard deviation $s=2.6 .$
a. Find a $95 \%$ confidence interval for $\mu$.
b. Find a $90 \%$ confidence interval for $\mu$.
c. Find a $99 \%$ confidence interval for $\mu$.

Lucas Finney
Lucas Finney
Numerade Educator
02:33

Problem 11

A random sample of 100 observations from a normally distributed population possesses a mean equal to 76.7 and a standard deviation equal to $7.9 .$
a. Find a $90 \%$ confidence interval for $\mu$.
b. What do you mean when you say that a confidence coefficient is $.90 ?$
c. Find a $95 \%$ confidence interval for $\mu$.
d. What happens to the width of a confidence interval as the value of the confidence coefficient is increased while the sample size is held fixed?
e. Would your confidence intervals of parts a and $\mathbf{c}$ be valid if the distribution of the original population were not normal? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:04

Problem 12

The mean and standard deviation of a random sample of $n$ measurements are equal to 33.5 and 3.5 , respectively.
a. Find a $90 \%$ confidence interval for $\mu$ if $n=144$.
b. Find a $90 \%$ confidence interval for $\mu$ if $n=576$.
c. Find the widths of the confidence intervals found in parts a and $\mathbf{b}$. What is the effect on the width of a confidence interval of quadrupling the sample size while holding the confidence coefficient fixed?

Lucas Finney
Lucas Finney
Numerade Educator
03:49

Problem 13

The heart rate variability (HRV) of police officers was the subject of research published in the American Journal of Human Biology (Jan.
2014). HRV is defined as the variation in the time intervals between heartbeats. A measure of HRV was obtained for each in a sample of 355 Buffalo, NY, police officers. (The lower the measure of $\mathrm{HRV}$, the more susceptible the officer is to cardiovascular disease.) For the 73 officers diagnosed with hypertension, a $95 \%$ confidence interval for the mean HRV was $(4.1,124.5) .$ For the 282 officers that are not hypertensive, a $95 \%$ confidence interval for the mean HRV was (148.0,192.6)
a. What confidence coefficient was used to generate the confidence intervals?
b. Give a practical interpretation of both of the $95 \%$ confidence intervals. Use the phrase "95\% confident" in your answer.
c. When you say you are "95\% confident," what do you mean?
d. If you want to reduce the width of each confidence interval, should you use a smaller or larger confidence coefficient? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
03:07

Problem 14

Refer to the Acoustical Science \& Technology (Vol. 35,2014 ) study of irrelevant speech effects, Exercise 2.34 (pp. 77$) .$ Recall that subjects performed a memorization task under two conditions: (1) with irrelevant background speech and (2) in silence. The difference in the error rates for the two conditions - called the relative difference in error rate (RDER) -was computed for each subject. Descriptive statistics for the RDER values are reproduced in the following SAS printout. Suppose you want to estimate the average difference in error rates for all subjects who perform the memorization tasks. a. Define the target parameter in words and in symbols.
b. In Exercise $2.104 \mathrm{~b}$ (p. 105 ), you computed the interval $\bar{x} \pm 2 \mathrm{~s} .$ Explain why this formula should not be used as an interval estimate for the target parameter.
c. Form a $98 \%$ confidence interval for the target parameter. Interpret the result.
d. Explain what the phrase "98\% confident" implies in your answer to part $\mathbf{c}$.
e. Refer to the histogram of the sample RDER values shown in Exercise 2.34 and note that the distribution is not symmetric. Consequently, it is likely that the population of RDER values is not normally distributed. Does this compromise the validity of the interval estimate, part c? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
02:30

Problem 15

Health care workers who use latex gloves with glove powder may develop a latex allergy. Symptoms of a latex allergy include conjunctivitis, hand eczema, nasal congestion, a skin rash, and shortness of breath. Each in a sample of 46 hospital employees who were diagnosed with latex allergy reported on their exposure to latex gloves (Current Allergy \& Clinical Immunology, Mar. 2004). Summary statistics for the number of latex gloves used per week are $\bar{x}=19.3$ and $s=11.9$
a. Give a point estimate for the average number of latex gloves used per week by all health care workers with a latex allergy.
b. Form a $95 \%$ confidence interval for the average number of latex gloves used per week by all health care workers with a latex allergy.
c. Give a practical interpretation of the interval you found in part $\mathbf{b}$.
d. Give the conditions required for the interval in part $\mathbf{b}$ to be valid.

Lucas Finney
Lucas Finney
Numerade Educator
02:49

Problem 16

People with high blood pressure suffer from hypertension. A study of the lipid profiles of hypertensive patients was carried out and the results published in Biology and Medicine (Vol. 2 , 2010 ). Data on fasting blood sugar (milligrams/deciliter) and magnesium (milligrams/deciliter) in blood specimens collected from 50 patients diagnosed with hypertension were collected. The accompanying MINITAB printout gives $90 \%$ confidence intervals for the mean fasting blood sugar (FBS) and mean magnesium level (MAG).
a. Locate and interpret the $90 \%$ confidence interval for mean fasting blood sugar on the printout.
b. Locate and interpret the $90 \%$ confidence interval for mean magnesium level on the printout.
c. If the confidence level is increased to $95 \%,$ what will happen to the width of the intervals?
d. If the sample of hypertensive patients is increased from 50 to $100,$ what will likely happen to the width of the intervals?

Lucas Finney
Lucas Finney
Numerade Educator
02:34

Problem 17

Refer to the Applied Psychology in Criminal Justice (Sept. 2009 ) study of the personality characteristics of drug dealers, Exercise 2.102 (p. 105 ). Recall that each in a sample of 100 convicted drug dealers was scored on the Wanting Recognition (WR) Scale, which provides a quantitative measure of a person's level of need for approval and sensitivity to social situations. (Higher scores indicate a greater need for approval.) The sample of drug dealers had a mean WR score of 39 with a standard deviation of $6 .$ Use this information to find an interval estimate of the mean WR score for all convicted drug dealers. Use a confidence coefficient of $99 \%$. Interpret the result.

Lucas Finney
Lucas Finney
Numerade Educator
05:36

Problem 18

Corporate sustainability refers to business practices designed around social and environmental considerations. Refer to the Business and Society (Mar. 2011 ) study on the sustainability behaviors of CPA corporations, Exercise 2.105 (p. 105). Recall that the level of support for corporate sustainability (measured on a quantitative scale ranging from 0 to 160 points) was obtained for each in a sample of 992 senior managers at CPA firms. Higher point values indicate a higher level of support for sustainability. The accompanying MINITAB printout gives a $90 \%$ confidence interval for the mean level of support for all senior managers at CPA firms. a. Locate the $90 \%$ confidence interval on the printout.
b. Use the sample mean and standard deviation on the printout to calculate the $90 \%$ confidence interval. Does your result agree with the interval shown on the printout?
c. Give a practical interpretation of the $90 \%$ confidence interval.
d. Suppose the CEO of a CPA firm claims that the true mean level of support for sustainability is 75 points. Do you believe this claim? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
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Problem 19

Refer to the National Snow and Ice Data Center (NSIDC) collection of data on the ce albedo, depth, and physical characteristics of ice-melt ponds in the Canadian Arctic, presented in Exercise 2.15 (p. 68 ). Albedo is the ratio of the light reflected by the ice to that received by it. (High albedo values give a white appearance to the ice.) Visible albedo values were recorded for a sample of 504 ice-melt ponds located in the Barrow Strait in the Canadian Arctic; these data are saved in the PONDICE file.
a. Find a $90 \%$ confidence interval for the true mean visible albedo value of all Canadian Arctic ice ponds.
b. Give both a practical and a theoretical interpretation of the interval.
c. Recall from Exercise 2.15 that the type of ice for each pond was classified as first-year ice, multiyear ice, or landfast ice. Find $90 \%$ confidence intervals for the mean visible albedo for each of the three types of ice. Interpret the intervals.

Rashmi Sinha
Rashmi Sinha
Numerade Educator
01:29

Problem 20

A new formula for estimating the water evaporation from occupied swimming pools was proposed and analyzed in the journal Heating/ Piping/Air Conditioning Engineering (Apr. 2013). The key components of the new formula are number of pool occupants, area of pool's water surface, and the density difference between room air temperature and the air at the pool's surface. Data were collected from a wide range of pools where the evaporation level was known. The new formula was applied to each pool in the sample, yielding an estimated evaporation level. The absolute value of the deviation between the actual and estimated evaporation level was then recorded as a percentage. The researchers reported the following summary statistics for absolute deviation percentage: $\bar{x}=18, s=20 .$ Assume that the sample contained $n=500$ swimming pools.
a. Estimate the true mean absolute deviation percentage for the new formula with a $90 \%$ confidence interval.
b. The American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) handbook also provides a formula for estimating pool evaporation. Suppose the ASHRAE mean absolute deviation percentage is $\mu=34 \%$. (This value was reported in the article.) On average, is the new formula "better" than the ASHRAE formula? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:57

Problem 21

In Psychological Science (Vol. 22,2011 ), researchers reported that a chief executive officer's facial structure can be used to predict a firm's financial performance. The study involved measuring the facial width-to-height ratio (WHR) for each in a sample of 55 CEOs at publicly traded Fortune 500 firms. These WHR values (determined by computer analyzing a photo of the CEO's face) had a mean of $\bar{x}=1.96$ and a standard deviation of $s=.15$.
a. Find and interpret a $95 \%$ confidence interval for $\mu$, the mean facial WHR for all CEOs at publicly traded Fortune 500 firms.
b. The researchers found that CEOs with wider faces (relative to height) tended to be associated with firms that had greater financial performance. They based their inference on an equation that uses facial WHR to predict financial performance. Suppose an analyst wants to predict the financial performance of a Fortune 500 firm based on the value of the true mean facial WHR of CEOs. The analyst wants to use the value of $\mu=2.2$. Do you recommend he use this value?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:35

Problem 22

The day after Thanksgivingcalled Black Friday - is one of the largest shopping days in the United States. Winthrop University researchers conducted interviews with a sample of 38 women shopping on Black Friday to gauge their shopping habits and reported the results in the International Journal of Retail and Distribution Management (Vol. 39,2011 ). One question was "How many hours do you usually spend shopping on Black Friday?" Data for the 38 shoppers are listed in the accompanying table.
a. Describe the population of interest to the researchers.
b. What is the quantitative variable of interest to the researchers?
c. Use the information in the table to estimate the population mean number of hours spent shopping on Black Friday with a $95 \%$ confidence interval.
d. Give a practical interpretation of the interval.
e. A retail store advertises that the true mean number of hours spent shopping on Black Friday is 5.5 hours. Should the store be sued for false advertising? Explain. $$\begin{array}{llllllllrrlllr}\hline 6 & 6 & 4 & 4 & 3 & 16 & 4 & 4 & 5 & 6 & 6 & 5 & 5 & 4 \\6 & 5 & 6 & 4 & 5 & 4 & 4 & 4 & 7 & 12 & 5 & 8 & 6 & 10 \\
5 & 8 & 8 & 3 & 3 & 8 & 5 & 6 & 10 & 11 & & & & \\
\hline\end{array}$$

Christopher Stanley
Christopher Stanley
Numerade Educator
01:30

Problem 23

A team of university psychologists conducted a review of studies that examined the relationship between personality and aggressive behavior (Psychological Bulletin, Vol. 132,
2006). One variable of interest was the difference between the aggressive behavior level of individuals in the study who scored high on a personality test and those who scored low on the test. This variable, standardized to be between -7 and $7,$ was called "effect size." (A large positive effect size indicates that those who score high on the personality test are more aggressive than those who score low.) The researchers collected the effect sizes for a sample of $n=109$ studies published in psychology journals. This data is saved in the PERAGGR file. A dot plot and summary statistics for effect size are shown in the MINITAB printouts at the bottom of the page. Of interest to the researchers is the true mean effect size $\mu$ for all psychological studies of personality and aggressive behavior. a. Identify the parameter of interest to the researchers.
b. Examine the dot plot. Does effect size have a normal distribution? Explain why your answer is irrelevant to the subsequent analysis.
c. Locate a $95 \%$ confidence interval for $\mu$ on the printout on p. 353 . Interpret the result.
d. If the true mean effect size exceeds 0 , then the researchers will conclude that in the population, those who score high on a personality test are more aggressive than those who score low. Can the researchers draw this conclusion? Explain.

Nick Johnson
Nick Johnson
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Problem 24

Refer to the Aquatic Biology (Vol. 9,2010 ) study of green sea turtles inhabiting the Grand Cayman South Sound lagoon, Exercise 2.85 (p. 97 ). The data on curved carapace (shell) length, measured in centimeters, for 76 captured turtles are displayed in the table. Environmentalists want to estimate the true mean shell length of all green sea turtles in the lagoon.
$$\begin{array}{lllllllll}
\hline 33.96 & 30.37 & 32.57 & 31.50 & 36.46 & 35.54 & 36.16 & 35.32 & 35.99 \\
39.55 & 44.33 & 42.73 & 42.15 & 42.43 & 49.96 & 46.04 & 48.76 & 47.78 \\
45.81 & 49.05 & 49.65 & 49.71 & 54.29 & 52.01 & 51.15 & 54.42 & 52.62 \\
53.27 & 54.07 & 50.40 & 53.69 & 51.30 & 54.29 & 54.58 & 55.11 & 57.65 \\
56.35 & 55.68 & 58.40 & 58.06 & 57.79 & 56.54 & 57.03 & 57.64 & 59.27 \\
64.79 & 61.96 & 60.08 & 62.34 & 63.84 & 60.61 & 64.91 & 60.35 & 62.63 \\
63.33 & 63.00 & 64.55 & 60.03 & 64.75 & 60.24 & 69.01 & 65.07 & 65.77 \\
65.30 & 68.24 & 65.28 & 67.54 & 68.49 & 66.98 & 65.67 & 70.26 & 70.94 \\
70.52 & 72.01 & 74.34 & 81.63 & & & & & \\\hline\end{array}$$
a. Define the parameter of interest to the environmentalists.
b. Use the data to find a point estimate of the target parameter.
c. Compute a $95 \%$ confidence interval for the target parameter. Interpret the result.
d. Suppose a biologist claims that the mean shell length of all green sea turtles in the lagoon is $60 \mathrm{~cm} .$ Make an inference about the validity of this claim.

Rashmi Sinha
Rashmi Sinha
Numerade Educator
01:56

Problem 25

Animal behaviorists have discovered that the more domestic chickens peck at objects placed in their environment, the healthier the chickens seem to be. White string has been found to be a particularly attractive pecking stimulus. In one experiment, 72 chickens were exposed to a string stimulus. Instead of white string, blue string was used. The number of pecks each chicken took at the blue string over a specified interval of time was recorded. Summary statistics for the 72 chickens were $\bar{x}=1.13$ pecks and $s=2.21$ pecks (Applied Animal Behaviour Science, October 2000 ). a. Use a $99 \%$ confidence interval to estimate the population mean number of pecks made by chickens pecking at blue string. Interpret the result. b. Previous research has shown that $\mu=7.5$ pecks if chickens are exposed to white string. Based on the results you found in part $\mathbf{a}$, is there evidence that chickens are more apt to peck at white string than blue string? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:24

Problem 26

Researchers at Northern Kentucky University designed and tested a speed-training program for junior varsity and varsity high school football players (The Sport Journal, Winter 2004 ). Each in a sample of 38 high school athletes was timed in a 40 -yard sprint prior to the start of the training program and timed again after completing the program. The decreases in times (measured in seconds) are listed in the table. [Note: A negative decrease implies that the athlete's time after completion of the program was higher than his time prior to training.] The goal of the research is to demonstrate that the training program is effective in improving 40 -yard sprint times.
$$\begin{array}{rlllllllll}
\hline-.01 & .1 & .1 & .24 & .25 & .05 & .28 & .25 & .2 & .14 \\
.32 & .34 & .3 & .09 & .05 & 0 & .04 & .17 & 0 & .21 \\
.15 & .3 & .02 & .12 & .14 & .1 & .08 & .5 & .36 & .1 \\
.01 & .9 & .34 & .38 & .44 & .08 & 0 & 0 & & \\\hline\end{array}$$
a. Find a $95 \%$ confidence interval for the true mean decrease in sprint times for the population of all football players who participate in the speed-training program.
b. Based on the confidence interval, is the training program really effective in improving the mean 40-yard sprint time of high school football players? Explain.

Christopher Stanley
Christopher Stanley
Numerade Educator
03:12

Problem 27

In Alcohol \& Alcoholism (Jan./Feb. 2007), psychologists at the University of Pennsylvania compared the levels of alcohol consumption of male and female freshman students. Each student was asked to estimate the amount of alcohol (beer, wine, or liquor) they consume in a typical week. Summary statistics for 128 males and 184 females are provided in the accompanying table.
a. For each gender, find a $95 \%$ confidence interval for mean weekly alcohol consumption.
b. Prior to sampling, what is the probability that at least one of the two confidence intervals will not contain the population mean it estimates? Assume that the two intervals are independent.
c. Based on the two confidence intervals, what inference can you make about which gender consumes the most alcohol, on average, per week? [Caution: In Chapter $9 .$ we will learn about a more valid method of comparing population means.] $$\begin{array}{lcc}\hline & \text { Males } & \text { Females } \\\hline \text { Sample size, } n & 128 & 184 \\\text { Mean (ounces) } \bar{x} & 16.79 & 10.79 \\\text { Standard deviation, } s & 13.57 & 11.53 \\\hline\end{array}$$

Lucas Finney
Lucas Finney
Numerade Educator
01:35

Problem 28

According to scientists, the cockroach has had 300 million years to develop a resistance to destruction. In a study conducted by researchers for S. C. Johnson \& Son, Inc. (manufacturers of Raid $^{\circledast}$ and Off $^{\otimes}$ ), 5,000 roaches (the expected number in a roach-infested house) were released in the Raid test kitchen. One week later, the kitchen was fumigated and 16,298 dead roaches were counted, a gain of 11,298 roaches for the 1 -week period. Assume that none of the original roaches died during the 1 -week period and that the standard deviation of $x,$ the number of roaches produced per roach in a 1 -week period, is $1.5 .$ Use the number of roaches produced by the sample of 5,000 roaches to find a $95 \%$ confidence interval for the mean number of roaches produced per week for each roach in a typical roach-infested house.

Tyler Moulton
Tyler Moulton
Numerade Educator
01:48

Problem 29

State the two problems (and corresponding solutions) that arise with using a small sample to estimate $\mu$.

Lucas Finney
Lucas Finney
Numerade Educator
01:18

Problem 30

Compare the shapes of the $z$ - and $t$ -distributions.

Lucas Finney
Lucas Finney
Numerade Educator
02:01

Problem 31

Explain the differences in the sampling distributions of $\bar{x}$ for large and small samples under the following assumptions:
a. The variable of interest, $x,$ is normally distributed.
b. Nothing is known about the distribution of the variable
$x$

Christopher Stanley
Christopher Stanley
Numerade Educator
02:51

Problem 32

Suppose you have selected a random sample of $n=7$ measurements from a normal distribution. Compare the standard normal z-values with the corresponding $t$ -values if you were forming the following confidence intervals:
a. $80 \%$ confidence interval
b. $90 \%$ confidence interval
c. $95 \%$ confidence interval
d. $98 \%$ confidence interval
e. $99 \%$ confidence interval
f. Use the table values you obtained in parts a-e to sketch the $z$ - and $t$ -distributions. What are the similarities and differences?

Lucas Finney
Lucas Finney
Numerade Educator
02:06

Problem 33

Let $t_{0}$ be a specific value of $t$. Use technology or Table III in Appendix $\mathrm{B}$ to find $t_{0}$ values such that following statements are true.
a. $P\left(t \geq t_{0}\right)=.025,$ where $\mathrm{df}=10$
b. $P\left(t \geq t_{0}\right)=.01,$ where $\mathrm{df}=18$
c. $P\left(t \leq t_{0}\right)=.005,$ where $\mathrm{df}=7$
d. $P\left(t \leq t_{0}\right)=.05,$ where $\mathrm{df}=14$

Lucas Finney
Lucas Finney
Numerade Educator
02:48

Problem 34

Let $t_{0}$ be a specific value of $t$. Use technology or Table III of Appendix $\mathrm{B}$ to find $t_{0}$ values such that the following statements are true:
a. $P\left(-t_{0}<t<t_{0}\right)=.95,$ where $\mathrm{df}=19$
b. $P\left(t \leq t_{0}\right)=.01,$ where $\mathrm{df}=6$
c. $P\left(t \leq-t_{0}\right.$ or $\left.t \geq t_{0}\right)=.10,$ where $\mathrm{df}=19$
d. $P\left(t \leq-t_{0}\right.$ or $\left.t \geq t_{0}\right)=.01,$ where $\mathrm{df}=16$

Lucas Finney
Lucas Finney
Numerade Educator
04:09

Problem 35

The following random sample was selected from a normal distribution: 4,6,3,5,9,3 .
a. Construct a $90 \%$ confidence interval for the population
$\operatorname{mean} \mu .$ b. Construct a $95 \%$ confidence interval for the population $\operatorname{mean} \mu .$
c. Construct a $99 \%$ confidence interval for the population mean $\mu$.
d. Assume that the sample mean $\bar{x}$ and sample standard deviation $s$ remain exactly the same as those you just calculated, but that they are based on a sample of $n=25$ observations rather than $n=6$ observations. Repeat parts a-c. What is the effect of increasing the sample size on the width of the confidence intervals?

Lucas Finney
Lucas Finney
Numerade Educator
03:06

Problem 36

The following sample of 16 measurements was selected from a population that is approximately normally distributed:
$$\begin{array}{rrrrrrrrrr}
91 & 80 & 99 & 110 & 95 & 106 & 78 & 121 & 106 & 100 \\
97 & 82 & 100 & 83 & 115 & 104 & & & & \\\hline\end{array}$$
a. Construct an $80 \%$ confidence interval for the population mean.
b. Construct a $95 \%$ confidence interval for the population mean, and compare the width of this interval with that of part a.
c. Carefully interpret each of the confidence intervals, and explain why the $80 \%$ confidence interval is narrower.

Lucas Finney
Lucas Finney
Numerade Educator
03:39

Problem 37

Refer to the British Journal of Music Education (Mar. 2014) study of performance anxiety by music students, Exercise $2.39(\mathrm{p} .78) .$ Recall that the Performance Anxiety Inventory (PAI) was used to measure music performance anxiety on a scale from 20 to 80 points. The table below gives PAI values for participants in eight different studies.
$$\begin{array}{llllllll}\hline 54 & 42 & 51 & 39 & 41 & 43 & 55 & 40 \\\hline\end{array}$$
a. Compute the mean PAI value, $\bar{x},$ for the sample of 8 studies. (See your answer to Exercise 2.62a.)
b. Compute the standard deviation of the PAI values, $s,$ for the sample of 8 studies. (See your answer to Exercise $2.87 \mathrm{~b} .)$
c. Use the results, parts a and $\mathbf{b},$ to form a $95 \%$ confidence interval for $\mu,$ the true mean PAI value for the population of all similar music performance anxiety studies.
d. For the interval, part $\mathbf{c},$ to be valid, how should the population of PAI values for all music performance anxiety studies be distributed?
e. If you were to repeatedly sample eight music performance anxiety studies and form a $95 \%$ confidence interval for $\mu$ for each sample, what proportion of the intervals will actually contain the true value of $\mu$ ?

Lucas Finney
Lucas Finney
Numerade Educator
03:54

Problem 38

. Due to habitat, giraffes travel in small groups. Hence, they require excellent vision in order to detect predators. The eyesight of giraffes was studied in African Zoology (Oct. 2013). The researchers measured a variety of eye characteristics for 27 giraffes native to Zimbabwe, Africa. One variable measured was eye mass (in grams). The study reported $\bar{x}=53.4 \mathrm{~g}$ and $s=8.6 \mathrm{~g}$
a. Use this information to find a $99 \%$ confidence interval for the true mean eye mass of giraffes native to Zimbabwe.
b. Suppose it is known that the mean eye mass of an African water buffalo is $\mu=31$ grams. Is it likely that the true mean eye mass of a giraffe is larger or smaller than this mean? Explain.
c. Suppose it is known that the mean eye mass of an African elephant is $\mu=58$ grams. Is it likely that the true mean eye mass of a giraffe is larger or smaller than this mean? Explain.

Lucas Finney
Lucas Finney
Numerade Educator
01:42

Problem 39

Many ancient Egyptian tombs were cut from limestone rock that contained uranium. Since most tombs are not well-ventilated, guards, tour guides, and visitors may be exposed to deadly radon gas. In Radiation Protection Dosimetry (Dec. 2010 ), a study of radon exposure in tombs in the Valley of Kings, Luxor, Egypt (recently opened for public tours), was conducted. The radon levels-measured in becquerels per cubic meter $\left(\mathrm{Bq} / \mathrm{m}^{3}\right)-$ in the inner chambers of a sample of 12 tombs were determined. For this data, assume that $\bar{x}=3,643 \mathrm{~Bq} / \mathrm{m}^{3}$ and $s=1,187 \mathrm{~Bq} / \mathrm{m}^{3}$. Use this infor-
mation to estimate, with $95 \%$ confidence, the true mean level of radon exposure in tombs in the Valley of Kings. Interpret the resulting interval.

Christopher Stanley
Christopher Stanley
Numerade Educator
02:25

Problem 40

Refer to the Journal of Biogeography (Dec. 2003) study of ants and their habitat in the desert of Central Asia, presented in Exercise 2.68 (p. 91). Recall that botanists randomly selected five sites in the Dry Steppe region and six sites in the Gobi Desert where ants were observed. One of the variables of interest is the annual rainfall (in millimeters) at each site. Summary statistics for the annual rainfall at each site are provided in the SAS printout below. a. Give a point estimate for the average annual rainfall amount at ant sites in the Dry Steppe region of Central Asia.
b. Give the $t$ -value used in a small-sample $90 \%$ confidence interval for the true average annual rainfall amount at ant sites in the Dry Steppe region.
c. Use the result you obtained in part $\mathbf{b}$ and the values of $\bar{x}$ and $s$ shown on the SAS printout to form a $90 \%$ confidence interval for the target parameter.
d. Give a practical interpretation for the interval you found in part $\mathbf{c}$
e. Use the data in the ANTS file to check the validity of the confidence interval you found in part $\mathbf{c}$.
f. Repeat parts a-e for the Gobi Desert region of Central Asia.

Lucas Finney
Lucas Finney
Numerade Educator
04:38

Problem 41

An observational study of teams fishing for the red spiny lobster in Baja California Sur, Mexico, was conducted and the results published in Bulletin of Marine Science (Apr. 2010). One of the variables of interest was the average distance separating traps - called trap spacing-deployed by the same team of fishermen. Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fishermen are shown in the accompanying table. Of interest is the mean trap spacing for the population of red spiny lobster fishermen fishing in Baja California Sur, Mexico. $$\begin{array}{lllllll}\hline 93 & 99 & 105 & 94 & 82 & 70 & 86 \\\hline\end{array}$$
a. Identify the target parameter for this study.
b. Compute a point estimate of the target parameter.
c. What is the problem with using the normal (z) statistic to find a confidence interval for the target parameter?
d. Find a $95 \%$ confidence interval for the target parameter.
e. Give a practical interpretation of the interval, part $\mathbf{d}$.
f. What conditions must be satisfied for the interval, part $\mathbf{d}$, to be valid?

Lucas Finney
Lucas Finney
Numerade Educator
04:38

Problem 42

Refer to the Aquatic Biology (Vol. 9,2010 ) study of green sea turtles inhabiting the Grand Cayman South Sound lagoon, Exercise 7.24
(p. 354 ). Time-depth recorders were deployed on 6 of the 76 captured turtles. The time-depth recorders allowed the environmentalists to track the movement of the sea turtles in the lagoon. These 6 turtles had a mean shell length of $52.9 \mathrm{~cm}$ with a standard deviation of $6.8 \mathrm{~cm} .$
a. Use the information on the 6 tracked turtles to estimate, with $99 \%$ confidence, the true mean shell length of all green sea turtles in the lagoon. Interpret the result.
b. What assumption about the distribution of shell lengths must be true in order for the confidence interval, part a, to be valid? Is this assumption reasonably satisfied? (Use the data saved in the TURTLES file to help you answer this question.)

Lucas Finney
Lucas Finney
Numerade Educator
03:28

Problem 43

What area of the United States has the least amount of daylight, on average? Having grown up in western Pennsylvania, co-author Sincich wonders if it is his hometown of Sharon, PA. Data on the number of minutes of daylight per day in Sharon, PA, for 12 randomly selected days (one each month) in a recent year were obtained from the Naval Oceanography Portal Web site (aa.usno.navy.mil/USNO/astronomicalapplications/data-services). The data are listed in the table. Descriptive statistics and a $95 \%$ confidence interval for the mean are produced in the SPSS printout in the next column.
a. Locate the confidence interval on the printout and give the value of the confidence coefficient.
b. Use the descriptive statistics on the printout to calculate the $95 \%$ confidence interval. Be sure your answer agrees with the interval shown on the printout. c. Practically interpret the confidence interval.
d. Comment on the method of sampling. Do you think the sample is representative of the target population?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:26

Problem 44

Refer to the International Conference on Social Robotics (Vol. 6414,2010 ) study on the current trend in the design of social robots, Exercise 2.7 (p. 66 ). Recall that in a random sample of social robots obtained through a Web search, 28 were built with wheels. The number of wheels on each of the 28 robots is reproduced in the accompanying table.
a. Estimate $\mu,$ the average number of wheels used on all social robots built with wheels, with $99 \%$ confidence.
b. Practically interpret the interval, part a.
c. Refer to part a. In repeated sampling, what proportion of all similarly constructed confidence intervals will contain the true mean, $\mu$ ? $$\begin{array}{llllllllllllll}
\hline 4 & 4 & 3 & 3 & 3 & 6 & 4 & 2 & 2 & 2 & 1 & 3 & 3 & 3 \\
3 & 4 & 4 & 3 & 2 & 8 & 2 & 2 & 3 & 4 & 3 & 3 & 4 & 2 \\\hline\end{array}$$

Christopher Stanley
Christopher Stanley
Numerade Educator
View

Problem 45

A team of psychologists and neuroscientists tested the pitch memory of individuals diagnosed with amusia (a disorder that impacts one's perception of music) and reported their results in Advances in Cognitive Psychology (Vol. 6,2010 ). Each in a sample of 17 amusiacs listened to a series of tone pairs and then were asked to determine if the tones were the same or different. In one trial, the tones were separated by 1 second. In a second trial, the tones were separated by 5 seconds. Scores in the two trials were compared for each amusiac. The mean score difference was .11 with a standard deviation of $.19 .$ Use this information to form a $90 \%$ confidence interval for the true mean score difference for all amusiacs. Interpret the result. What assumption about the population of score differences must hold true for the interval to be valid?

Rashmi Sinha
Rashmi Sinha
Numerade Educator
02:05

Problem 46

Refer to the American Journal of Archaeology (Jan. 2014) study of shaft graves in ancient Greece, Exercise 2.37 (p. 78 ). Recall that shaft graves are named for the beautifully decorated sword shafts that are buried along with the bodies. The table on p. 364 gives the number of shafts buried at each of 13 recently discovered grave sites.
$$\begin{array}{lllllllllllll}
\hline 1 & 2 & 3 & 1 & 5 & 6 & 2 & 4 & 1 & 2 & 4 & 2 & 9 \\\hline\end{array}$$
a. Estimate the average number of shafts buried in ancient Greece graves using a $90 \%$ confidence interval. Give a practical interpretation of the interval.
b. What assumption about the data on shaft graves is required for the inference, part a, to be valid?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:13

Problem 47

Molten salt is used in an electro-refiner to treat nuclear fuel waste. Eventually, the salt needs to be purified (for reuse) or disposed of. A promising method of purification involves oxidation. Such a method was investigated in Chemical Engineering Research and Design (Mar. 2013). An important aspect of the purification process is the rising velocity of oxygen bubbles in the molten salt. An experiment was conducted in which oxygen was inserted (at a designated sparging rate) into molten salt and photographic images of the bubbles taken. A random sample of 25 images yielded the data on bubble velocity (measured in meters per second) shown in the table. [Note: These data are simulated based on information provided in the article.]
$$\begin{array}{lllllllll}
\hline 0.275 & 0.261 & 0.209 & 0.266 & 0.265 & 0.312 & 0.285 & 0.317 & 0.229 \\
0.251 & 0.256 & 0.339 & 0.213 & 0.178 & 0.217 & 0.307 & 0.264 & 0.319 \\
0.298 & 0.169 & 0.342 & 0.270 & 0.262 & 0.228 & 0.220 & & \\\hline\end{array}$$
a. Use statistical software to find a $95 \%$ confidence interval for the mean bubble rising velocity of the population. Interpret the result.
b. The researchers discovered that the mean bubble rising velocity is $\mu=.338$ when the sparging rate of oxygen is $3.33 \times 10^{-6} .$ Do you believe that the data in the table were generated at this sparging rate? Explain.

Christopher Stanley
Christopher Stanley
Numerade Educator
02:52

Problem 48

In planning for a new forest road to be used for tree harvesting, planners must select the location that will minimize tractor skidding distance. In the Journal of Forest Engineering (July 1999), researchers wanted to estimate the true mean skidding distance along a new road in a European forest. The skidding distances (in meters) were measured at 20 randomly selected road sites. These values are given in the accompanying table. $$\begin{array}{llllllllll}
\hline 488 & 350 & 457 & 199 & 285 & 409 & 435 & 574 & 439 & 546 \\
385 & 295 & 184 & 261 & 273 & 400 & 311 & 312 & 141 & 425 \\\hline\end{array}$$
a. Estimate, with a $95 \%$ confidence interval, the true mean skidding distance of the road.
b. Give a practical interpretation of the interval you found in part a.
c. What conditions are required for the inference you made in part $\mathbf{b}$ to be valid? Are these conditions reasonably satisfied?
d. A logger working on the road claims that the mean skidding distance is at least 425 meters. Do you agree?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
04:28

Problem 49

Zoologists in Japan investigated the reproductive traits of spider mites with a bacterial infection (Heredity, Jan. 2007 ). Male and female pairs of infected spider mites were mated in a laboratory and the number of eggs produced by each female recorded. Summary statistics for several samples are provided in the accompanying table. Note that, in some samples, one or both infected spider mites were treated with antibiotic prior to mating.
a. For each type of female-male pair, construct and interpret a $90 \%$ confidence interval for the population mean number of eggs produced by the female spider mite.
b. Identify the type of female-male pair that appears to produce the highest mean number of eggs. $$
\begin{array}{lccc}\hline \begin{array}{l}
\text { Female- } \\
\text { Male Pairs }
\end{array} & \text { Sample Size } & \text { Mean # of Eggs } & \begin{array}{c}
\text { Standard } \\
\text { Deviation }
\end{array} \\
\hline \text { Both } & & & \\
\quad \text { untreated } & 29 & 20.9 & 3.34 \\
\text { Male treated } & 23 & 20.3 & 3.50 \\
\text { Female } & & & \\
\text { treated } & 18 & 22.9 & 4.37 \\
\text { Both treated } & 21 & 18.6 & 2.11 \\
\hline
\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:51

Problem 50

Ascaridia galli is a parasitic roundworm that attacks the intestines of birds, especially chickens and turkeys. Scientists are working on a synthetic vaccine (antigen) for the parasite. The success of the vaccine hinges on the characteristics of DNA in peptide (protein) produced by the antigen. In the journal Gene Therapy and Molecular Biology (June 2009), scientists tested alleles of antigen-produced protein for level of peptide. For a sample of 4 alleles, the mean peptide score was 1.43 and the standard deviation was .13 .
a. Use this information to construct a $90 \%$ confidence interval for the true mean peptide score in alleles of the antigen-produced protein.
b. Interpret the interval for the scientists.
c. What is meant by the phrase "90\% confidence"?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:56

Problem 51

Scientists have discovered increased levels of the hormone adrenocorticotropin in people just before they awake from sleeping (Nature, Jan. 7,
1999). In the study described, 15 subjects were monitored during their sleep after being told that they would be woken at a particular time. One hour prior to the designated wake-up time, the adrenocorticotropin level (pg/mL) was measured in each, with the following results:
$$\bar{x}=37.3 \quad s=13.9$$
a. Use a $95 \%$ confidence interval to estimate the true mean adrenocorticotropin level of sleepers one hour prior to waking. b. Interpret the interval you found in part a in the words of the problem.
c. The researchers also found that if the subjects were woken three hours earlier than they anticipated, the average adrenocorticotropin level was $25.5 \mathrm{pg} / \mathrm{mL}$. Assume that $\mu=25.5$ for all sleepers who are woken three hours earlier than expected. Use the interval from part a to make an inference about the mean adrenocorticotropin level of sleepers under two conditions: one hour before the anticipated wake-up time and three hours before the anticipated wake-up time.

Christopher Stanley
Christopher Stanley
Numerade Educator
01:18

Problem 52

Describe the sampling distribution of $\hat{p}$ on the basis of large samples of size $n .$ That is, give the mean, the standard deviation, and the (approximate) shape of the distribution of $\hat{p}$ when large samples of size $n$ are (repeatedly) selected from the binomial distribution with probability $p$ of success.

Christopher Stanley
Christopher Stanley
Numerade Educator
00:58

Problem 53

Explain the meaning of the phrase " $\hat{p}$ is an unbiased estimator of $p$ "

Lucas Finney
Lucas Finney
Numerade Educator
00:40

Problem 54

If $p$ is near 0 or 1 , how large a sample is needed to employ the large-sample confidence interval procedure?

Lucas Finney
Lucas Finney
Numerade Educator
View

Problem 55

A random sample of size $n=250$ yielded $p=.80$.
a. Is the sample size large enough to use the large sample approximation to construct a confidence interval for $p ?$ Explain.
b. Construct a $95 \%$ confidence interval for $p$.
c. Interpret the $95 \%$ confidence interval.
d. Explain what is meant by the phrase "95\% confidence interval."

James Kiss
James Kiss
Numerade Educator
02:43

Problem 56

A random sample of size $n=169$ yielded $\hat{p}=.65$.
a. Is the sample size large enough to use the methods of this section to construct a confidence interval for $p ?$ Explain.
b. Construct a $90 \%$ confidence interval for $p$.
c. What assumption is necessary to ensure the validity of this confidence interval?

Lucas Finney
Lucas Finney
Numerade Educator
01:52

Problem 57

For the binomial sample information summarized in each part, indicate whether the sample size is large enough to use the methods of this chapter to construct a confidence interval for $p$
a. $n=500, \hat{p}=.05$
b. $n=100, \hat{p}=.05$
c. $n=10, \hat{p}=.5$
d. $n=10, \hat{p}=.3$

Lucas Finney
Lucas Finney
Numerade Educator
01:50

Problem 58

A random sample of 50 consumers taste-tested a new snack food. Their responses were coded (0: do not like; 1:
like; 2: indifferent) and recorded as follows:
$$\begin{array}{cccccccccc}
\hline 1 & 0 & 0 & 1 & 2 & 0 & 1 & 1 & 0 & 0 \\
0 & 1 & 0 & 2 & 0 & 2 & 2 & 0 & 0 & 1 \\
1 & 0 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 0 \\
0 & 1 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 1 \\
0 & 2 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 1 \\\hline\end{array}$$
a. Use an $80 \%$ confidence interval to estimate the proportion of consumers who like the snack food.
b. Provide a statistical interpretation for the confidence interval you constructed in part a.

Christopher Stanley
Christopher Stanley
Numerade Educator
03:01

Problem 59

If you use the Internet, have you ever paid to access or download music? This was one of the questions of interest in a recent Pew Internet and American Life Project Survey (Oct. 2010). Telephone interviews were conducted on a representative sample of 1,003 adults living in the United States. For this sample, 506 adults stated that they have paid to download music.
a. Use the survey information to find a point estimate for the true proportion of U.S. adults who have paid to download music.
b. Find an interval estimate for the proportion, part a. Use a $90 \%$ confidence interval.
c. Give a practical interpretation of the interval, part $\mathbf{b}$. Your answer should begin with "We are $90 \%$ confident $\ldots$ "
d. Explain the meaning of the phrase " $90 \%$ confident."

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:31

Problem 60

Refer to the Early Childhood Education Journal (Mar. 2014) study of interactions in a children's museum, Exercise 2.19 (p. 69 ). (Interactions by visitors to the museum included showand-tell, learning, teaching, refocusing, participatory play, advocating, and disciplining interactions.) Recall that the researchers observed a sample of 170 meaningful interactions, of which 81 were led by children and 89 were led by adult caregivers.
a. Give a point estimate of the true proportion of all meaningful interactions in a children's museum that are led by children.
b. Form a $90 \%$ confidence interval around the proportion, part a.
c. Interpret the interval, part $\mathbf{b},$ in the words of the study.
d. Suppose an educator claims that the true proportion of all meaningful interactions in a children's museum that are led by children is $35 \%$. Make an inference about this claim.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:47

Problem 61

The Minneapolis Star Tribune (Aug. 12,2008 ) reported that $73 \%$ of Americans say that Starbucks coffee is overpriced. The source of this information was a national telephone survey of 1,000 American adults conducted by Rasmussen Reports.
a. Identify the population of interest in this study.
b. Identify the sample for the study.
c. Identify the parameter of interest in the study.
d. Find and interpret a $95 \%$ confidence interval for the parameter of interest.

Lucas Finney
Lucas Finney
Numerade Educator
02:36

Problem 62

The International Nanny Association reports that in a sample of 528 in-home child care providers (nannies), 20 work for either a nationally known, a locally known, or an internationally known celebrity ( 2011 International Nanny Association Salary and Benefits Survey). Use Wilson's adjustment to find a $95 \%$ confidence interval for the true proportion of all nannies who work for a celebrity. Interpret the resulting interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:41

Problem 63

Refer to the Harvard School of Public Health survey to determine the size and composition of privately held firearm stock in the United States, presented in Exercise 3.85 (p. 183). Recall that, in a representative household telephone survey of 2,770 adults, $26 \%$ reported that they own at least one gun (Injury Prevention, Jan. 2007). The researchers want to estimate the true percentage of adults in the United States that own at least one gun.
a. Identify the population of interest to the researchers.
b. Identify the parameter of interest to the researchers.
c. Compute an estimate of the population parameter.
d. Form a $99 \%$ confidence interval around the estimate.
e. Interpret the confidence interval practically.
f. Explain the meaning of the phrase "99\% confident."

Christopher Stanley
Christopher Stanley
Numerade Educator
03:20

Problem 64

Refer to the Nature (July 15,2004 ) study of fish specimens labeled "red snapper," presented in Exercise 3.93 (p. 185 ). Recall that federal law prohibits restaurants from serving a cheaper look-alike variety of fish to customers who order red snapper. In an effort to estimate the true proportion of fillets that are really red snapper, researchers analyzed the meat from each in a sample of 22 "red snapper" fish fillets purchased from vendors across the United States. DNA tests revealed that 17 of the 22 fillets (or $77 \%)$ were not red snapper but the cheaper look-alike variety of fish.
a. Identify the parameter of interest to the researchers.
b. Explain why a large-sample confidence interval is inappropriate to apply in this study.
c. Use Wilson's adjustment to construct a $95 \%$ confidence interval for the parameter of interest.
d. Give a practical interpretation of the confidence interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:35

Problem 65

USA Today (Feb. $15,$ 2007 ) reported on the results of an opinion poll in which adults were asked what one thing they are most likely to do when they are home sick with a cold or the flu. In the survey, $63 \%$ said that they are most likely to sleep and $18 \%$ said that they would watch television. Although the sample size was not reported, typically opinion polls include approximately 1,000 randomly selected respondents.
a. Assuming a sample size of 1,000 for this poll, construct a $95 \%$ confidence interval for the true percentage of all adults who would choose to sleep when they are at home sick.
b. If the true percentage of adults who would choose to sleep when they are at home sick is $70 \%,$ would you be surprised? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:08

Problem 66

Refer to the Journal of Quantitative Criminology (Mar. 2014) study of a program designed to curb street gang gun violence, Exercise $2.18(\mathrm{p} .69)$. After implementation of Boston's Operation Ceasefire program, the researchers examined 80 shootings by members of a particular Boston street gang over the next five years. Of these, only 18 involved shootings of non-gang members. Use a $99 \%$ confidence interval to estimate the true proportion of shootings by members of this Boston street gang that involved non-gang members. Interpret the result.

Christopher Stanley
Christopher Stanley
Numerade Educator
01:34

Problem 67

Refer to the International Conference on Social Robotics (Vol. 6414,2010 ) study of the trend in the design of social robots, Exercise 2.7 (p. 66 ). The researchers obtained a random sample of 106 social robots through a Web search and determined that 63 were designed with legs but no wheels. a. Find a $99 \%$ confidence interval for the proportion of all social robots designed with legs but no wheels. Interpret the result.
b. In Exercise $6.55,$ you assumed that $40 \%$ of all social robots are designed with legs but no wheels. Comment on the validity of this assumption.

Christopher Stanley
Christopher Stanley
Numerade Educator
02:30

Problem 68

As worldwide air traffic volume has grown over the years, the problem of airplanes striking birds and other flying wildlife has increased dramatically. The International Journal for Traffic and Transport Engineering (Vol. 3, 2013) reported on a study of aircraft bird strikes at Aminu Kano International Airport in Nigeria. During the survey period, a sample of 44 aircraft bird strikes were analyzed. The researchers found that 36 of the 44 bird strikes at the airport occurred above 100 feet. Suppose an airport air traffic controller estimates that less than $70 \%$ of aircraft bird strikes occur above 100 feet. Comment on the accuracy of this estimate. Use a $95 \%$ confidence interval to support your inference.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:33

Problem 69

Due to the popularity of instant messaging and social networking, informal elements such as emoticons (e.g., the symbol ":)" to represent a smile) and abbreviations (e.g., "LOL" for "laughing out loud") have worked their way into teenagers' school writing assignments. A Pew Internet and American Life Project (Apr. 2008 ) survey interviewed 700 randomly selected U.S. teenagers by telephone on their writing habits. Overall, 448 of the teenagers admitted using at least one informal element in school writing assignments. Based on the survey results, construct a $99 \%$ confidence interval for the proportion of all U.S. teenagers who have used at least one informal element in school writing assignments. Give a practical interpretation of the interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:54

Problem 70

Refer to the University of Colorado study of ice-melt ponds in the Canadian Arctic, presented in Exercise 2.15 (p. 68 ). Environmental engineers are using data collected by the National Snow and Ice Data Center to learn how climate affects the sea ice. Data on 504 ice melt ponds revealed 88 as having "first-year ice." Recall that the researchers estimated that about $17 \%$ of melt ponds in the Canadian Arctic have first-year ice. Use the methodology of this chapter to estimate, with $90 \%$ confidence, the percentage of all ice-melt ponds in the Canadian Arctic that have first-year ice. Give a practical interpretation of the results.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:57

Problem 71

The most common injury that occurs among mountain climbers is trauma to the lower extremity (leg). Consequently, rescuers must be proficient in immobilizing and splinting of fractures. In High Altitude Medicine \& Biology (Vol. 10,2009 ), researchers provided official recommendations for mountain emergency medicine. As part of the document, the researchers examined the likelihood of needing certain types of splints. A Scottish Mountain Rescue study reported that there was 1 femoral shaft splint needed among 333 live casualties. The researchers will use this study to estimate the proportion of all mountain casualties that require a femoral shaft splint.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:12

Problem 72

If you falsely believe you emit an unpleasant, foul, or offensive body odor, you may suffer from olfactory reference syndrome (ORS). The disorder disables patients, who often isolate themselves and consider suicide. Psychiatrists disagree over how prevalent ORS is in the human population. Depression and Anxiety (June 2010$)$ discussed one self-reported survey of 2,481 university students in Japan. The study reported that 52 of the students were "concerned with emitting a strange bodily odor." b. Give several reasons why the inference, part a, may be invalid. Explain.
a. Use the survey results to estimate the true proportion of all people in the world who suffer from ORS. Place $95 \%$ confidence bounds around the estimate and interpret the result.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:16

Problem 73

Pigmented makeup products like mascara and eye shadow may contain metal (e.g., nickel) allergens. Is a nickel allergy more likely to occur in women who report cosmetic dermatitis from using eye shadow or mascara? This was the question of interest in a paper published in the Journal of the European Academy of Dermatology and Venereology (June 2010 ). In a sample of 131 women with cosmetic dermatitis from using eye shadow, 12 were diagnosed with a nickel allergy. In a sample of 250 women with cosmetic dermatitis from using mascara, 25 were diagnosed with a nickel allergy. Suppose you are informed that the true proportion with a nickel allergy for one of the two groups (eye shadow or mascara) is .12. Can you determine which group is referenced? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:28

Problem 74

How does the sampling error $\mathrm{SE}$ compare with the width of a confidence interval?

Lucas Finney
Lucas Finney
Numerade Educator
01:53

Problem 75

True or false. For a specified sampling error SE, increasing the confidence level $(1-\alpha)$ will lead to a larger $n$ in determining the sample size.

Lucas Finney
Lucas Finney
Numerade Educator
01:07

Problem 76

True or false. For a fixed confidence level $(1-\alpha),$ increasing the sampling error $\mathrm{SE}$ will lead to a smaller $n$ in determining the sample size.

Lucas Finney
Lucas Finney
Numerade Educator
01:14

Problem 77

If you wish to estimate a population mean with a sampling distribution error $\mathrm{SE}=.29$ using a $95 \%$ confidence interval and you know from prior sampling that $\sigma^{2}$ is approximately equal to 3.8 , how many observations would have to be included in your sample?

Lucas Finney
Lucas Finney
Numerade Educator
02:03

Problem 78

If nothing is known about $p, .5$ can be substituted for $p$ in the sample-size formula for a population proportion. But when this is done, the resulting sample size may be larger than needed. Under what circumstances will using $p=.5$ in the sample-size formula yield a sample size larger than is needed to construct a confidence interval for $p$ with a specified bound and a specified confidence level?

Lucas Finney
Lucas Finney
Numerade Educator
03:14

Problem 79

Suppose you wish to estimate a population mean correct to within .12 with a confidence level of .90 . You do not know $\sigma^{2},$ but you know that the observations will range in value between 36 and 44 .
a. Find the approximate sample size that will produce the desired accuracy of the estimate. You wish to be conservative to ensure that the sample size will be ample for achieving the desired accuracy of the estimate. [Hint:
assume that the range of the observations will equal $4 \sigma .]$
b. Calculate the approximate sample size, making the less conservative assumption that the range of the observations is equal to $6 \sigma$.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:38

Problem 80

In each case, find the approximate sample size required to construct a $99 \%$ confidence interval for $p$ that has sampling error $\mathrm{SE}=.07$
a. Assume that $p$ is near .4 .
b. Assume that you have no prior knowledge about $p,$ but you wish to be certain that your sample is large enough to achieve the specified accuracy for the estimate.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:24

Problem 81

A $90 \%$ confidence interval for $p$ is given as $(.48, .72) .$ How large was the sample used to construct this interval?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:34

Problem 82

It costs you 10 to draw a sample of size n=1 and measure the attribute of interest. You have a budget of 1,500.
a. Do you have sufficient funds to estimate the population mean for the attribute of interest with a $95 \%$ confidence interval 6 units in width? Assume $\sigma=15$.
b. If you used a $90 \%$ confidence level, would your answer to part a change? Explain.

Hossam Mohamed
Hossam Mohamed
Numerade Educator
03:23

Problem 83

Suppose you wish to estimate the mean of a normal population with a $95 \%$ confidence interval and you know from prior information that $\sigma^{2} \approx 1$.
a. To see the effect of the sample size on the width of the confidence interval, calculate the width of the confidence interval for $n=36,64,81,225,$ and 900 .
b. Plot the width as a function of sample size $n$ on graph paper. Connect the points by a smooth curve, and note how the width decreases as $n$ increases.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:18

Problem 84

Refer to the African Zoology (Oct. 2013) study of a giraffe's eyesight, Exercise 7.38 (p. 362). Recall that the researchers measured the eye mass for a sample of 27 giraffes native to Zimbabwe, Africa, and found $\bar{x}=53.4$ grams and $s=8.6$ grams. Suppose the objective is to sample enough giraffes in order to obtain an estimate of the mean eye mass to within 3 grams of its true value with a $99 \%$ confidence interval. a. Identify the confidence coefficient for this study.
b. Identify the desired sampling error for this study.
c. Find the sample size required to obtain the desired estimate of the true mean.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:56

Problem 85

Refer to the American Journal of Archaeology (Jan. 2014) study of shaft graves in ancient Greece, Exercise 7.46 (p. 363 ). Recall that you estimated $\mu,$ the average number of shafts buried in ancient Greece graves, using data collected for 13 recently discovered grave sites and a $90 \%$ confidence interval. However, you would like to reduce the width of the interval for $\mu$.
a. Will increasing the confidence level to .95 reduce the width of the interval?
b. Will increasing the sample size reduce the width of the interval?
c. Determine the sample size required to estimate $\mu$ to within .5 shaft with $90 \%$ confidence.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:01

Problem 86

Research published in the Journal of Quantitative Criminology (Mar. 2010) revealed that the risk of burglaries in homes located on culde-sacs is lower than for homes on major roads. Suppose you want to estimate the true percentage of cul-de-sac homes in your home city that were burglarized in the past year. Devise a sampling plan so that your estimate will be accurate to within $2 \%$ of the true value using a confidence coefficient of $95 \% .$ How many cul-de-sac homes need to be sampled and what information do you need to collect for each sampled home?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:15

Problem 87

Refer to the Bulletin of Marine Science (Apr. 2010) study of lobster trap placement, Exercise 7.41 (p. 363). Recall that you used a $95 \%$ confidence interval to estimate the mean trap spacing (in meters) for the population of red spiny lobster fishermen fishing in Baja California Sur, Mexico. How many teams of fishermen would need to be sampled in order to reduce the width of the confidence interval to 5 meters? Use the sample standard deviation from Exercise 7.41 in your calculation.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:48

Problem 88

A gigantic warehouse located in Tampa, Florida, stores approximately 60 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A University of South Florida statistician was hired by the insurance company to estimate $p$, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate the true proportion to within .02 with $90 \%$ confidence?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:41

Problem 89

Refer to the International Conference on Social Robotics (Vol. 6414,2010 ) study of the trend in the design of social robots, Exercise 7.67 (p. 371 ). Recall that you used a $99 \%$ confidence interval to estimate the proportion of all social robots designed with legs but no wheels. How many social robots would need to be sampled in order to estimate the proportion to within .075 of its true value?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:28

Problem 90

Refer to the Naval Oceanography Portal data on number of minutes of daylight per day in Sharon, PA, Exercise $7.43(\mathrm{p} .363) . \mathrm{An}$ estimate of the mean number of minutes of daylight per day was obtained using data collected for 12 randomly selected days (one each month) in a recent year.
a. Determine the number of days that need to be sampled in order to estimate the desired mean to within $45 \mathrm{~min}$ utes of its true value with $95 \%$ confidence.
b. Based on your answer, part a, develop a sampling plan that will likely result in a random sample that is representative of the population.
c. Go to the Web site, http://aa.usno.navy.mil/USNO/ astronomical-applications/data-services, and collect the data for Sharon, PA using your sampling plan.
d. Use the data, part $\mathbf{c}$, to construct a $95 \%$ confidence interval for the desired mean. Does your interval have the desired width?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:23

Problem 91

Refer to the Advances in Cognitive Psychology (Vol. 6,2010 ) study of pitch memory of amusiacs, Exercise 7.45 (p. 363). Recall that diagnosed amusiacs listened to a series of tone pairs and were asked to determine if the tones were the same or different. In the first trial, the tones were separated by 1 second; in the second trial, the tones were separated by 5 seconds. The variable of interest was the difference between scores on the two trials. How many amusiacs would need to participate in the study in order to estimate the true mean score difference for all amusiacs to within .05 with $90 \%$ confidence?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:04

Problem 92

Refer to the International Journal of Retail and Distribution Management (Vol. 39,2011 ) survey of Black Friday shoppers, Exercise 7.22 (p. 353). One question was "How many hours do you usually spend shopping on Black Friday?"
a. How many Black Friday shoppers should be included in a sample designed to estimate (with $95 \%$ confidence) the average number of hours spent shopping on Black Friday if you want the estimate to deviate no more than 5 hour from the true mean?
b. Devise a sampling plan for collecting the data that will likely result in a representative sample.

Tyler Moulton
Tyler Moulton
Numerade Educator
01:12

Problem 93

Refer to the International Journal for Traffic and Transport Engineering (Vol. 3,
2013) study of aircraft bird strikes at a Nigerian airport, Exercise 7.68 (p. 371 ). Recall that an air traffic controller wants to estimate the true percentage of aircraft bird strikes that occur above 100 feet. Determine how many aircraft bird strikes need to be analyzed in order to estimate the true percentage to within $5 \%$ if you use a $95 \%$ confidence interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:46

Problem 94

proportion of bottled water that violates at least one government standard. Determine the sample size (number of bottles) needed to estimate this proportion to within ±.05 with $99 \%$ confidence. Is the bottled water you drink safe? The Natural Resources Defense Council warns that the bottled water you are drinking may contain more bacteria and other potentially carcinogenic chemicals than are allowed by state and federal regulations. Of the more than 1,000 bottles studied, nearly one-fourth exceeded government levels. Suppose that the Natural Resources Defense Council wants an updated estimate of the population

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:59

Problem 95

Refer to the Depression and Anxiety (June 2010) study of patients who suffer from olfactory reference syndrome (ORS), Exercise 7.72 (p. 372 ). Recall that psychiatrists disagree over how prevalent ORS is in the human population. Suppose you want to estimate the true proportion of U.S. adults who suffer from ORS using a $99 \%$ confidence interval. Determine the size of the sample necessary to attain a sampling error no larger than .04.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:40

Problem 96

According to a Food and Drug Administration (FDA) study, a cup of coffee contains an average of 115 milligrams (mg) of caffeine, with the amount per cup ranging from 60 to $180 \mathrm{mg}$. Suppose you want to repeat the FDA experiment in order to obtain an estimate of the mean caffeine content in a cup of coffee correct to within $10 \mathrm{mg}$ with $99 \%$ confidence. How many cups of coffee would have to be included in your sample?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:44

Problem 97

Refer to the Journal of the European Academy of Dermatology and Venereology (June 2010 ) study of the link between nickel allergies and use of mascara or eye shadow, Exercise 7.73 (p. 372). Recall that two groups of women were sampled:
one group with cosmetic dermatitis from using eye shadow and another group with cosmetic dermatitis from using mascara. In either group, how many women would need to be sampled in order to yield an estimate (with $95 \%$ confidence) of the population percentage with a nickel allergy that falls no more than $3 \%$ from the true value?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:28

Problem 98

It costs more to produce defective items - since they must be scrapped or reworked-than it does to produce non-defective items. This simple fact suggests that manufacturers should ensure the quality of their products by perfecting their production processes instead of depending on inspection of finished products (Deming, 1986 ). In order to better understand a particular metal stamping process, a manufacturer wishes to estimate the mean length of items produced by the process during the past 24 hours.
a. How many parts should be sampled in order to estimate the population mean to within . 2 millimeter (mm) with $95 \%$ confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about $2 \mathrm{~mm}$
b. Time permits the use of a sample size no larger than $225 .$ If a $95 \%$ confidence interval for $\mu$ is constructed with $n=225,$ will it be wider or narrower than would have been obtained using the sample size determined in part a? Explain.
c. If management requires that $\mu$ be estimated to within $.2 \mathrm{~mm}$ and that a sample size of no more than 225 be used, what is (approximately) the maximum confidence level that could be attained for a confidence interval that meets management's specifications?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:46

Problem 99

What sampling distribution is used to find an interval estimate for $\sigma^{2} ?$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:32

Problem 100

What conditions are required for a valid confidence interval for $\sigma^{2} ?$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:35

Problem 101

How many degrees of freedom are associated with a chisquare sampling distribution for a sample of size $n ?$

Christopher Stanley
Christopher Stanley
Numerade Educator
02:25

Problem 102

For the combinations of $\alpha$ and degrees of freedom (df) in parts a through $\mathbf{d}$ below, use either Table IV in Appendix $\mathrm{B}$ or statistical software to find the values of $\chi_{\alpha / 2}^{2}$ and $\chi_{(1-\alpha / 2)}^{2}$ that would be used to form a confidence interval for $\sigma^{2}$
a. $\alpha=.05, \mathrm{df}=6$
b. $\alpha=.10, \mathrm{df}=14$
c. $\alpha=.01, \mathrm{df}=22$
d. $\alpha=.05, \mathrm{df}=22$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
05:52

Problem 103

Given the following values of $\bar{x}, s,$ and $n,$ form a $90 \%$ confidence interval for $\sigma^{2}$.
a. $\bar{x}=21, s=2.7, n=50$
b. $\bar{x}=1.7, s=.04, n=14$
c. $\bar{x}=160, s=31.7, n=24$
d. $\bar{x}=9.8, s=1.6, n=5$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:53

Problem 104

Refer to Exercise 7.103 . For each part, a-d, form a $90 \%$ confidence interval for $\sigma$.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:12

Problem 105

A random sample of $n=6$ observations from a normal distribution resulted in the data shown in the table. Compute a $95 \%$ confidence interval for $\sigma^{2}$.
$$\begin{array}{llllll}8 & 2 & 3 & 7 & 11 & 6 \\\hline\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:43

Problem 106

Refer to the Business and Society (Mar. 2011) study on the sustainability behaviors of CPA corporations, Exercise 7.18 (p. 352). Recall that the level of support for corporate sustainability (measured on a quantitative scale ranging from 0 to 160 points) was obtained for each in a sample of 992 senior managers at CPA firms. The accompanying MINITAB printout gives $90 \%$ confidence intervals for both the variance and standard deviation of level of support for all senior managers at CPA firms.
a. Locate the $90 \%$ confidence interval for $\sigma^{2}$ on the printout.
b. Use the sample variance on the printout to calculate the $90 \%$ confidence interval for $\sigma^{2}$. Does your result agree with the interval shown on the printout?
c. Locate the $90 \%$ confidence interval for $\sigma$ on the printout.
d. Use the result, part a, to calculate the $90 \%$ confidence interval for $\sigma$. Does your result agree with the interval shown on the printout?
e. Give a practical interpretation of the $90 \%$ confidence interval for $\sigma$.
f. What assumption about the distribution of level of support is required for the inference, part $\mathbf{e},$ to be valid? Is this assumption reasonably satisfied?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:19

Problem 107

Refer to the Environmental Geology (Vol. 58,2009 ) simulation study of how far a block from a collapsing rock wall will bounce down a soil slope, Exercise 2.61 (p. 89). Rebound lengths (in meters) were estimated for 13 rock bounces. The data are repeated in the table. A MINITAB analysis of the data is shown in the printout below.
$$\begin{array}{rrrrrrr}\hline 10.94 & 13.71 & 11.38 & 7.26 & 17.83 & 11.92 & 11.87 \\5.44 & 13.35 & 4.90 & 5.85 & 5.10 & 6.77 & \\\hline\end{array}$$
a. Locate a $95 \%$ confidence interval for $\sigma^{2}$ on the printout. Interpret the result.
b. Locate a $95 \%$ confidence interval for $\sigma$ on the printout. Interpret the result.
c. What conditions are required for the intervals, parts a and $\mathbf{b}$, to be valid?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
View

Problem 108

Refer to the Applied Psychology in Criminal Justice (Sept. 2009) study of the personality characteristics of convicted drug dealers, Exercise 7.17 (p. 352 ). A random sample of 100 drug dealers had a mean Wanting Recognition (WR) score of 39 points, with a standard deviation of 6 points. The researchers also are interested in $\sigma^{2},$ the variation in WR scores for all convicted drug dealers.
a. Identify the target parameter, in symbols and words.
e. To obtain a practical interpretation of the interval, part $\mathbf{b}$, explain why a confidence interval for the standard deviation, $\sigma,$ is desired.
f. Use the results, part $\mathbf{b},$ to compute a $99 \%$ confidence interval for $\sigma$. Give a practical interpretation of the interval.
b. Compute a $99 \%$ confidence interval for $\sigma^{2}$.
c. What does it mean to say that the target parameter lies within the interval with "99\% confidence"?
d. What assumption about the data must be satisfied in order for the confidence interval to be valid?

Rashmi Sinha
Rashmi Sinha
Numerade Educator
02:06

Problem 109

Refer to the Psychological Science (Vol. 22, 2011) study of a chief executive officer's facial structure, Exercise 7.21 (p. 353). Recall that the facial width-to-height ratio (WHR) was determined by computer analysis for each in a sample of 55 CEOs at publicly traded Fortune 500 firms, with the following results:
$\bar{x}=1.96, s=.15$
a. Find and interpret a $95 \%$ confidence interval for the standard deviation, $\sigma,$ of the facial WHR values for all CEOs at publicly traded Fortune 500 firms. Interpret the result.
b. For the interval, part a, to be valid, the population of WHR values should be distributed how? Draw a sketch of the required distribution to support your answer.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:45

Problem 110

Refer to the Gene Therapy and Molecular Biology (June 2009) study of DNA in peptide (protein) produced by antigens for a parasitic roundworm in birds, Exercise 7.50 (p. 364). Recall that scientists tested each in a sample of 4 alleles of antigen-produced protein for level of peptide. The results were: $\bar{x}=1.43$ and $s=.13 .$ Use this information to construct a $90 \%$ confidence interval for the true variation in peptide scores for alleles of the antigen-produced protein. Interpret the interval for the scientists.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:52

Problem 111

The characteristics of sweet potato chips fried at different temperatures were investigated in the Journal of Food Engineering (Sept.
2013). A sample of 6 sweet potato slices were fried at $130^{\circ}$ using a vacuum fryer. One characteristic of interest to the researchers was internal oil content (measured in gigagrams). The results were: $\bar{x}=.178 \mathrm{~g} / \mathrm{g}$ and $s=.011 \mathrm{~g} / \mathrm{g}$. Use this information to construct a $95 \%$ confidence interval for the true standard deviation of the internal oil content distribution for the sweet potato chips. Interpret the result practically.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:22

Problem 112

Refer to the Radiation Protection Dosimetry (Dec. 2010) study of radon exposure in tombs carved from limestone in the Egyptian Valley of Kings, Exercise 7.39 (p. 362 ). The radon levels in the inner chambers of a sample of 12 tombs were determined, yielding the following summary statistics: $\bar{x}=3,643 \mathrm{~Bq} / \mathrm{m}^{3}$ and $s=4,487 \mathrm{~Bq} / \mathrm{m}^{3}$. Use this information to estimate, with $95 \%$ confidence, the true standard deviation of radon levels in tombs in the Valley of Kings. Interpret the resulting interval. Be sure to give the units of measurement in your interpretation.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:12

Problem 113

Refer to the American Journal of Physical Anthropology (Vol. 142,2010 ) study of the characteristics of cheek teeth (e.g., molars) in an extinct primate species, Exercise $2.38(\mathrm{p} .78) .$ Recall that the researchers recorded the dentary depth of molars (in millimeters) for a sample of 18 cheek teeth extracted from skulls. The data are repeated in the table. Estimate the true standard deviation in molar depths for the population of cheek teeth in extinct primates using a $95 \%$ confidence interval. Give a practical interpretation of the result. Are the conditions required for a valid confidence interval reasonably satisfied?
$$\begin{array}{ll}\hline 18.12 & 16.55 \\
19.48 & 15.70 \\19.36 & 17.83 \\
15.94 & 13.25 \\15.83 & 16.12 \\
19.70 & 18.13 \\15.76 & 14.02 \\
17.00 & 14.04 \\13.96 & 16.20 \\\hline\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
04:20

Problem 114

Refer to the Aquatic Biology (Vol. 9,2010 ) study of green sea turtles inhabiting the Grand Cayman South Sound lagoon, Exercise 7.24 (p. 354 ). Recall that the data on shell length, measured in centimeters, for 76 captured turtles are saved in the TURTLES file. Use the sample data to estimate the true variance in shell lengths of all green sea turtles in the lagoon with $90 \%$ confidence. Interpret the result.

Idabelle Cunningham
Idabelle Cunningham
Numerade Educator
02:10

Problem 115

Refer to the Bulletin of Marine Science (Apr. 2010) study of red spiny lobster trap placement, Exercise 7.41 (p. 363). Trap spacing measurements (in meters) for a sample of seven teams of red spiny lobster fishermen are repeated in the table below. The researchers want to know how variable the trap spacing measurements are for the population of red spiny lobster fishermen fishing in Baja California Sur, Mexico. Provide the researchers with an estimate of the target parameter using a $99 \%$ confidence interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:13

Problem 116

Refer to the Archives of Pediatrics and Adolescent Medicine (Dec. 2007) study of honey as a remedy for coughing, Exercise 2.40 (p. 79). Recall that the 105 ill children in the sample were randomly divided into groups. One group received a dosage of an over-the-counter cough medicine (DM); another group received a dosage of honey (H). The coughing improvement scores (as determined by the children's parents) for the patients in the two groups are reproduced in the table on p. $385 .$ The pediatric researchers desire information on the variation in coughing improvement scores for each of the two groups.
a. Find a $90 \%$ confidence interval for the standard deviation in improvement scores for the honey dosage group.
b. Repeat part a for the DM dosage group. c. Based on the results, parts a and $\mathbf{b},$ what conclusions can the pediatric researchers draw about which group has the smaller variation in improvement scores? (We demonstrate a more statistically valid method for comparing variances in Chapter $9 .)$

Lucas Finney
Lucas Finney
Numerade Educator
01:59

Problem 117

Refer to the Chance (Summer 2007 ) study of an actual phishing attack against an organization, Exercise 6.36 (p. 330 ). Recall that phishing describes an attempt to extract personal/financial information from unsuspecting people through fraudulent e-mail. The interarrival times (in seconds) for 267 fraud box e-mail notifications are saved in the accompanying file. Like with Exercise $6.36,$ consider these interarrival times to represent the population of interest.
a. Obtain a random sample of $n=10$ interarrival times from the population.
b. Use the sample, part a, to obtain an interval estimate of the population variance of the interarrival times. What is the measure of reliability for your estimate?
c. Find the true population variance for the data. Does the interval, part $\mathbf{b},$ contain the true variance? Give one reason why it may not.

Dominador Tan
Dominador Tan
Numerade Educator
01:27

Problem 118

Interpret the phrase "95\% confident" in the following statement: "We are $95 \%$ confident that the proportion of all $\mathrm{PCs}$ with a computer virus falls between .12 and $.18 . "$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:57

Problem 119

For each of the following, identify the target parameter as $\mu, p,$ or $\sigma^{2} .$
a. Average score on the SAT
b. Mean time waiting at a supermarket checkout lane
c. Proportion of voters in favor of legalizing marijuana
d. Percentage of NFL players who have ever made the Pro Bowl
e. Dropout rate of American college students
f. Variation in IQ scores of sociopaths

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:32

Problem 120

In each of the following instances, determine whether you would use a $z$ -or $t$ -statistic (or neither) to form a $99 \%$ confidence interval for $\mu$; then look up the appropriate $z$ or value.
a. Random sample of size $n=17$ from a normal distribution with unknown mean $\mu$ and standard deviation $\sigma$
b. Random sample of size $n=192$ from a normal distribution with unknown mean $\mu$ and standard deviation $\sigma$
c. Random sample of size $n=16$ from a normal distribution with unknown mean and standard deviation $\sigma=4$
d. Random sample of size $n=80$ from a distribution about which nothing is known
e. Random sample of size $n=12$ from a distribution about which nothing is known

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:40

Problem 121

Use Table IV, Appendix B, or statistical software to find $\chi_{\alpha / 2}^{2}$ and $\chi_{1-\alpha / 2}^{2}$ for each of the following:
a. $n=10, \alpha=.05$
b. $n=20, \alpha=.05$
c. $n=50, \alpha=.01$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:44

Problem 122

Let $t_{0}$ represent a particular value of $t$ from Table III of Appendix $\mathrm{B}$. Find the table values such that the following statements are true:
a. $P\left(t \leq t_{0}\right)=.05,$ where $\mathrm{df}=14$
b. $P\left(t \geq t_{0}\right)=.005,$ where $\mathrm{df}=19$
c. $P\left(t \leq-t_{0}\right.$ or $\left.t \geq t_{0}\right)=.10,$ where $\mathrm{df}=9$
d. $P\left(t \leq-t_{0}\right.$ or $\left.t \geq t_{0}\right)=.01,$ where df $=28$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:12

Problem 123

In a random sample of 225 measurements, 125 possess the characteristic of interest, $\mathrm{A}$.
a. Use a $95 \%$ confidence interval to estimate the true proportion $p$ of measurements in the population with characteristic $\mathrm{A}$.
b. How large a sample would be needed to estimate $p$ to within .02 with $95 \%$ confidence?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
04:46

Problem 124

A random sample of 400 measurements is selected from a population, and the sample mean and standard deviation are $\bar{x}=40.5$ and $s=26.0$, respectively.
a. Use a $99 \%$ confidence interval to estimate the mean of the population, $\mu$.
b. How large a sample would be needed to estimate $\mu$ to within .5 with $99 \%$ confidence?
c. What is meant by the phrase "99\% confidence" as it is used in this exercise?
d. Find a $99 \%$ confidence interval for $\sigma^{2}$.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:02

Problem 125

The Centers for Disease Control and Prevention (CDCP) in Atlanta, Georgia, conduct an annual survey of the general health of the U.S. population as part of their Behavioral Risk Factor Surveillance System. Using random-digit dialing, the CDCP telephones U.S. citizens over 18 years of age and asks them the following four questions:
1. Is your health generally excellent, very good, good, fair, or poor?
2. How many days during the previous 30 days was your physical health not good because of injury or illness?
3. How many days during the previous 30 days was your mental health not good because of stress, depression, or emotional problems?
4. How many days during the previous 30 days did your physical or mental health prevent you from performing your usual activities? Identify the parameter of interest for each question.

Tony Wilson
Tony Wilson
Numerade Educator
02:05

Problem 126

In sociology, a personal network is defined as the people with whom you make frequent contact. A stratified random sample of men and women born between 1908 and 1937 was used to gauge the size of the personal network of older adults. Each adult in the sample was asked to "please name the people (e.g., in your neighborhood) you have frequent contact with and who are also important to you." Based on the number of people named, the personal network size for each adult was determined. The responses of 2,819 adults in the sample yielded the following statistics on network size: $\bar{x}=14.6 ; s=9.8$ (Sociological Methods \& Research, Aug. 2001).
a. Give a point estimate for the mean personal network size of all older adults.
b. Form a $95 \%$ confidence interval for the mean personal network size of all older adults.
c. Give a practical interpretation of the interval you found in part b.
d. Give the conditions required for the interval in part $\mathbf{b}$ to be valid.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:21

Problem 127

Refer to the Chance (Fall 2000$)$ study of 837 pieces of pottery found at the ancient Greek settlement at Phylakopi, presented in Exercise 2.186 (p. 134). Of the 837 pieces, 183 were painted with either a curvilinear, geometric, or naturalistic decoration. Find a $90 \%$ confidence interval for the population proportion of all pottery artifacts at Phylakopi that are painted. Interpret the resulting interval.

Christopher Stanley
Christopher Stanley
Numerade Educator
02:16

Problem 128

Refer to the Evolutionary Ecology Research (July 2003) study of the patterns of extinction in the New Zealand bird population, presented in Exercise 2.108 (p. 106). Suppose you are interested in estimating the mean egg length (in millimeters) for the New Zealand bird population.
a. What is the target parameter?
b. Recall that the egg lengths for 132 bird species are saved in the NZBIRDS file. Obtain a random sample of 50 egg lengths from the data set.
c. Find the mean and standard deviation of the 50 egg lengths you obtained in part $\mathbf{b}$.
d. Use the information from part $\mathbf{c}$ to form a $99 \%$ confidence interval for the true mean egg length of a bird species found in New Zealand.
e. Give a practical interpretation of the interval you found in part $\mathbf{d}$.

Nick Johnson
Nick Johnson
Numerade Educator
02:49

Problem 129

Refer to the National Institute for Standards and Technology (NIST) study of the accuracy of checkout scanners at Wal-Mart stores in California, presented in Exercise 3.56 (p. 169). NIST sets standards so that no more than 2 of every 100 items scanned through an electronic checkout scanner can have an inaccurate price. Recall that in a sample of 60 Wal-Mart stores, 52 violated the NIST scanner accuracy standard. Suppose you want to estimate the true proportion of Wal-Mart stores in California that violate the NIST standard. b. Determine the number of Wal-Mart stores that must be sampled in order to estimate the true proportion to within .08 with $95 \%$ confidence, using the large-sample method.
a. Explain why the large-sample methodology of Section 7.4 is inappropriate for this study.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:51

Problem 130

Refer to The Sport Journal (Winter 2004) study on the effectiveness of a speed-training program for football players, Exercise 7.26 (p. 354). The decreases in 40-yard sprint times (time after training minus time before training) for 38 players are saved in the SPRINT file. An athlete's sprint performance will be classified as "Improved" if the "after" time is less than the "before" time, and classified as "Not Improved" if otherwise.
a. Find an estimate for the true proportion of all high school athletes who attain improved sprint times after participating in the speed-training program.
b. Convert the estimate, part a, into a $95 \%$ confidence interval. Give a practical interpretation of the result.
c. How many high school athletes should be sampled to estimate the true proportion to within .03 with $95 \%$ confidence?

Nick Johnson
Nick Johnson
Numerade Educator
02:45

Problem 131

The white wood material used for the roof of an ancient Japanese temple is imported from Northern Europe. The wooden roof must withstand as much as 100 centimeters of snow in the winter. Architects at Tohoku University (in Japan) conducted a study to estimate the mean bending strength of the white wood roof (Journal of the International Association for Shell and Spatial Structures, Aug. 2004). A sample of 25 pieces of the imported wood was tested and yielded the following statistics on breaking strength (in MPa $): \bar{x}=75.4, s=10.9$
a. Estimate the true mean breaking strength of the white wood with a $90 \%$ confidence interval. Interpret the result.
b. Suppose you want to estimate the true mean breaking strength of the white wood to within 4 MPa, using a $90 \%$ confidence interval. How many pieces of the imported wood need to be tested?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:09

Problem 132

The EPA wants to test a randomly selected sample of $n$ water specimens and estimate $\mu,$ the mean daily rate of pollution produced by a mining operation. If the EPA wants a $95 \%$ confidence interval estimate with a sampling error of 1 milligram per liter $(\mathrm{mg} / \mathrm{L})$, how many water specimens are required in the sample? Assume that prior knowledge indicates that pollution readings in water samples taken during a day are approximately normally distributed with a standard deviation equal to $5(\mathrm{mg} / \mathrm{L})$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:50

Problem 133

Refer to the Lichen Radionuclide Baseline Research project at the University of Alaska, presented in Exercise 2.196 (p. 136). Recall that the researchers collected 9 lichen specimens and measured the amount (in microcuries per milliliter) of the radioactive element cesium- 137 for each. (The natural logarithms of the data values are saved in the LICHEN file.) A MINITAB printout with summary statistics for the actual data is shown below.
$$\begin{array}{llrrrr}\hline \text { Variable } & \mathrm{N} & \text { Mean } & \text { StDev } & \text { SE Mean } & 95 * \mathrm{CI} \\\text { CESIUM } & 9 & 0.009027 & 0.004854 & 0.001618 & (0.005296,0.012759) \\\hline\end{array}$$
a. Give a point estimate for the mean amount of cesium in lichen specimens collected in Alaska.
b. Give the $t$ -value used in a small-sample $95 \%$ confidence interval for the true mean amount of cesium in Alaskan lichen specimens.
c. Use the result you obtained in part $\mathbf{b}$ and the values of $\bar{x}$ and $s$ shown on the MINITAB printout to form a $95 \%$ confidence interval for the true mean amount of cesium in Alaskan lichen specimens.
d. Check the interval you found in part $\mathbf{c}$ with the $95 \%$ confidence interval shown on the MINITAB printout.
e. Give a practical interpretation for the interval you obtained in part $\mathbf{c}$.
f. Suppose the researchers want to increase the sample size in order to estimate the mean $\mu$ to within $.001 \mathrm{mi}-$ crocurie per milliliter of its true value, using a $95 \%$ confidence interval. Compute the sample size necessary to obtain the desired estimate.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:09

Problem 134

Psychologists have found that twins, in their early years, tend to have lower IQs and pick up language more slowly than nontwins (Wisconsin Twin Research Newsletter, Winter 2004 ). The slower intellectual growth of most twins may be caused by benign parental neglect. Suppose it is desired to estimate the mean attention time given to twins per week by their parents. A sample of 50 sets of $2^{1} / 2$ -year-old twin boys is taken, and at the end of 1 week, the attention time given to each pair is recorded. The data (in hours) are listed in the following table. Find a $90 \%$ confidence interval for the mean attention time given to all twin boys by their parents. Interpret the confidence interval.
$$\begin{array}{rrrrr}
\hline 20.7 & 16.7 & 22.5 & 12.1 & 2.9 \\23.5 & 6.4 & 1.3 & 39.6 & 35.6 \\
10.9 & 7.1 & 46.0 & 23.4 & 29.4 \\44.1 & 13.8 & 24.3 & 9.3 & 3.4 \\15.7 & 46.6 & 10.6 & 6.7 & 5.4 \\
14.0 & 20.7 & 48.2 & 7.7 & 22.2 \\20.3 & 34.0 & 44.5 & 23.8 & 20.0 \\
43.1 & 14.3 & 21.9 & 17.5 & 9.6 \\36.4 & 0.8 & 1.1 & 19.3 & 14.6 \\
32.5 & 19.1 & 36.9 & 27.9 & 14.0 \\\hline\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
04:45

Problem 135

A group of Harvard University School of Public Health researchers studied the impact of cooking on the size of indoor air particles ( Environmental Science \& Technology, Sept. 1,2000 ). The decay rate (measured in $\mu \mathrm{m} /$ hour ) for fine particles produced from oven cooking or toasting was recorded on six randomly selected days. The data is provided in the table.
$$\begin{array}{llllll}\hline .95 & .83 & 1.20 & .89 & 1.45 & 1.12 \\\hline\end{array}$$
a. Find and interpret a $95 \%$ confidence interval for the true average decay rate of fine particles produced from oven cooking or toasting.
b. Explain what the phrase "95\% confident" implies in the interpretation of part a.
*. Estimate the true standard deviation of decay rate with a $95 \%$ confidence interval. Interpret the result.
d. What must be true about the distribution of the population of decay rates for the inferences you made in parts a and $c$ to be valid?
e. Suppose that we want to estimate the average decay rate of fine particles produced from oven cooking or toasting to within .04 with $95 \%$ confidence. How large a sample should be selected?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:57

Problem 136

According to a University of Michigan study, many adults have experienced lingering "fright" effects from a scary movie or TV show they saw as a teenager. In a survey of 150 college students, 39 said they still experience "residual anxiety" from a scary TV show or movie.
a. Give a point estimate $\hat{p}$ for the true proportion of college students who experience "residual anxiety" from a scary TV show or movie.
b. Find a $90 \%$ confidence interval for $p$.
c. Interpret the interval you found in part $\mathbf{b}$.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:26

Problem 137

In a study reported in The Wall Street Journal, the Tupperware Corporation surveyed 1,007
U.S. workers. Of the people surveyed, 665 indicated that they take their lunch to work with them. Of these 665 taking their lunch, 200 reported that they take it in brown bags.
a. Find a $95 \%$ confidence interval estimate of the population proportion of U.S. workers who take their lunch to work with them. Interpret the interval.
b. Consider the population of U.S. workers who take their lunch to work with them. Find a $95 \%$ confidence interval estimate of the population proportion who take brown-bag lunches. Interpret the interval.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:59

Problem 138

In Exercise 2.45 (p. 80 ), you learned that the postmortem interval (PMI) is the elapsed time between death and the performance of an autopsy on the cadaver. Brain and Language (June 1995) reported on the PMIs of 22 randomly selected human brain specimens obtained at autopsy. The data are reproduced in the following table. A coroner claims that the true mean PMI of human brain specimens obtained at autopsy is 10 days. Do you agree? Use a $95 \%$ confidence interval to make an inference.
$$\begin{array}{rrrrrrrr}
\hline 5.5 & 14.5 & 6.0 & 5.5 & 5.3 & 5.8 & 11.0 & 6.4 \\
7.0 & 14.5 & 10.4 & 4.6 & 4.3 & 7.2 & 10.5 & 6.5 \\
3.3 & 7.0 & 4.1 & 6.2 & 10.4 & 4.9 & & \\\hline\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:48

Problem 139

Tropical swarm-founding wasps rely on female workers to raise their offspring. One possible explanation for this strange behavior is inbreeding, which increases relatedness among the wasps, presumably making it easier for the workers to pick out their closest relatives as propagators of their own genetic material. To test this theory, 197 swarm-founding wasps were captured in Venezuela, frozen at $-70^{\circ} \mathrm{C},$ and then subjected to a series of genetic tests. The data were used to generate an inbreeding coefficient $x$ for each wasp specimen, with the following results: $\bar{x}=.025$ and $s=.662$.
a. Construct a $99 \%$ confidence interval for the mean inbreeding coefficient of this species of wasp.
b. A coefficient of 0 implies that the wasp has no tendency to inbreed. Use the confidence interval you constructed in part a to make an inference about the tendency for this species of wasp to inbreed.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:19

Problem 140

Researchers at the University of Florida's Department of Exercise and Sport Sciences conducted a study of variety in exercise workouts (Journal of Sport Behavior, 2001). A sample of 120 men and women were randomly divided into three groups, with 40 people per group. Group 1 members varied their exercise routine in workouts, group 2 members performed the same exercise at each workout, and group 3 members had no set schedule or regulations for their workouts.
a. By the end of the study, 15 people had dropped out of the first exercise group. Estimate the dropout rate for exercisers who vary their routine in workouts. Use a $90 \%$ confidence interval and interpret the result.
b. By the end of the study, 23 people had dropped out of the third exercise group. Estimate the dropout rate for exercisers who have no set schedule for their workouts. Use a $90 \%$ confidence interval and interpret the result.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:12

Problem 141

The United States Golf Association (USGA) tests all new brands of golf balls to ensure that they meet USGA specifications. One test conducted is intended to measure the average distance traveled when the ball is hit by a machine called "Iron Byron." Suppose the USGA wishes to estimate the mean distance for a new brand to within 1.5 yard with $95 \%$ confidence. Assume that past tests have indicated that the standard deviation of the distances Iron Byron hits golf balls is approximately 10 yards. How many golf balls should be hit by Iron Byron to achieve the desired accuracy in estimating the mean?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:26

Problem 142

Alzheimer's disease is a progressive disease of the brain. The journal $e C A M$ (Nov. 2006) published an article that critiqued the quality of the methodology used in studies on Alzheimer's treatment. For each in a sample of 13 studies, the quality of the methodology was measured on the Wong scale, with scores ranging from 9 (low quality) to 27 (high quality). The data are shown in the table below.
a. Estimate, with a $99 \%$ confidence interval, the mean quality $\mu$ of all studies on the treatment of Alzheimer's disease. Interpret the result.
b. According to the researchers, a study with a Wong score below 18 used a methodology that "fails to support the author's conclusions" about the treatment of Alzheimer's. Use Wilson's adjustment to estimate the proportion of all studies on the treatment of Alzheimer's disease with a Wong score below 18 . Construct a $99 \%$ confidence interval around the estimate and interpret the result.
$$\begin{array}{lllllllllllll}\hline 22 & 21 & 18 & 19 & 20 & 15 & 19 & 20 & 15 & 20 & 17 & 20 & 21 \\\hline\end{array}$$

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:56

Problem 143

The chemical benzalkonium chloride $(\mathrm{BAC})$ is an antibacterial agent that is added to some asthma medications to prevent contamination. However, adding $\mathrm{BAC}$ to asthma drugs can cause airway constriction in patients. In a sample of 18 asthmatic patients, each of whom received a heavy dose of $\mathrm{BAC}, 10$ experienced a significant drop in breathing capacity (Journal of Allergy and Clinical Immunology, Jan. 2001). Based on this information, a $95 \%$ confidence interval for the true percentage of asthmatic patients who experience breathing difficulties after taking $\mathrm{BAC}$ is (.326, .785) .
a. Why might the confidence interval lead to an erroneous inference?
b. How many asthma patients must be included in the study in order to estimate the true percentage who experience a significant drop in breathing capacity to within $4 \%$ with a $95 \%$ confidence interval?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:01

Problem 144

Refer to Exercise 2.193 (p. 136 ) and the Teaching of Psychology (May 1998 ) study in which students assisted in the training of zoo animals. A sample of 15 psychology students rated "The Training Game" as a "great" method of understanding the animal's perspective during training on a $7-1$ point scale (where $1=$ strongly disagree and $7=$ strongly agree $)$. The mean response was $5.87,$ with a standard deviation of 1.51 .
a. Construct a $95 \%$ confidence interval for the true mean response of the students.
b. Suppose you want to reduce the width of the $95 \%$ confidence interval to half the size obtained in part a. How many students are required in the sample in order to obtain the desired confidence interval width?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:28

Problem 145

Recently, a case of salmonella (bacterial) poisoning was traced to a particular brand of ice cream bar, and the manufacturer removed the bars from the market. Despite this response, many consumers refused to purchase any brand of ice cream bars for some time after the event (McClave, personal correspondence). One manufacturer conducted a survey of consumers 6 months after the poisoning. A sample of 244 ice cream bar consumers was contacted, and 23 indicated that they would not purchase ice cream bars because of the potential for food poisoning.
a. What is the point estimate of the true fraction of the entire market who refuse to purchase bars 6 months after the poisoning?
b. Is the sample size large enough to use the normal approximation for the sampling distribution of the estimator of the binomial probability? Justify your response.
c. Construct a $95 \%$ confidence interval for the true proportion of the market who still refuse to purchase ice cream bars 6 months after the event.
d. Interpret both the point estimate and confidence interval in terms of this application.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:21

Problem 146

Refer to Exercise 7.145. Suppose it is now 1 year after the poisoning was traced to ice cream bars. The manufacturer wishes to estimate the proportion who still will not purchase bars to within .04 , using a $90 \%$ confidence interval. How many consumers should be sampled?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:00

Problem 147

Refer to the Current Allergy \& Clinical Immunology (Mar. 2004) study of health care workers who use latex gloves, presented in Exercise 7.15 (p. 352). In addition to the 46 hospital employees who were diagnosed with a latex allergy on the basis of a skin-prick test, another 37 health care workers were diagnosed with the allergy by means of a latex-specific serum test. Of these 83 workers with a confirmed latex allergy, only 36 suspected that they had the allergy when they were asked about it on a questionnaire. Make a statement about the likelihood that a health care worker with a latex allergy suspects that he or she actually has the allergy. Attach a measure of reliability to your inference.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
03:27

Problem 148

Jitter is a term used to describe the variation in conduction time of a water power system. Low throughput jitter is critical to successful waterline technology. An investigation of throughput jitter in the opening switch of a prototype system (Journal of Applied Physics) yielded the following descriptive statistics on conduction time for $n=18$ trials: $\bar{x}=334.8$ nanoseconds, $s=6.3$ nanoseconds. (Conduction time is defined as the length of time required for the downstream current to equal $10 \%$ of the upstream current.)
a. Construct a $95 \%$ confidence interval for the true standard deviation of conduction times of the prototype system.
b. Practically interpret the confidence interval, part a.
c. A system is considered to have low throughput jitter if the true conduction time standard deviation is less than 7 nanoseconds. Does the prototype system satisfy this requirement? Explain.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:37

Problem 149

Each year, Management Accounting reports the results of a salary survey of the members of the Institute of Management Accountants (IMA). One year, the 2,112 members responding had a salary distribution with a 20th percentile of $\$ 35,100$, a median of $\$ 50,000,$ and an 80th percentile of $\$ 73,000$.
a. Use this information to determine the minimum sample size that could be used in next year's survey to estimate the mean salary of IMA members to within $\$ 2,000$ with $98 \%$ confidence.

Ahmad Reda
Ahmad Reda
Numerade Educator
02:36

Problem 150

By law, all new cars must be equipped with both driver-side and passengerside safety air bags. There is concern, however, over whether air bags pose a danger for children sitting on the passenger side. In a National Highway Traffic Safety Administration (NHTSA) study of 55 people killed by the explosive force of air bags, 35 were children seated on the front-passenger side. This study led some car owners with the information about children to disconnect the passenger-side air bag.
a. Use the study to estimate the risk of an air bag fatality on a child seated on the front passenger seat. b. NHTSA investigators determined that 24 of the 35 children killed by the air bags were not wearing seat belts or were improperly restrained. How does this information affect your assessment of the risk of an air bag fatality?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:24

Problem 151

Interfaces (Mar-Apr. 1995 ) discussed the case of a ship that fishes for scallops off the coast of New England. In order to protect baby scallops from being harvested, the U.S. Fisheries and Wildlife Service requires that "the average meat per scallop weigh at least $\frac{1}{36}$ of a pound." The ship was accused of violating this weight standard. Author Arnold Barnett lays out the scenario:
The vessel arrived at a Massachusetts port with 11,000 bags of scallops, from which the harbormaster randomly selected 18 bags for weighing. From each such bag, his agents took a large scoopful of scallops; then, to estimate the bag's average meat per scallop, they divided the total weight of meat in the scoopful by the number of scallops it contained. Based on the 18 [numbers] thus generated, the harbormaster estimated that each of the ship's scallops possessed an average $\frac{1}{39}$ of $a$ pound of meat (that is, they were about seven percent lighter than the minimum requirement). Viewing this outcome as conclusive evidence that the weight standard had been violated, federal authorities at once confiscated 95 percent of the catch (which they then sold at auction). The fishing voyage was thus transformed into a financial catastrophe for its participants.
The actual scallop weight measurements for each of the 18 sampled bags are listed in the next table and saved in the SCALLOPS file. For ease of exposition, Bennett expressed each number as a multiple of $\frac{1}{36}$ of a pound, the minimum permissible average weight per scallop. Consequently, numbers below 1 indicate individual bags that do not meet the standard.

The ship's owner filed a lawsuit against the federal government, declaring that his vessel had fully complied with the weight standard. A Boston law firm was hired to represent the owner in legal proceedings, and Bennett was retained by the firm to provide statistical litigation support and, if necessary, expert witness testimony.
a. Recall that the harbormaster sampled only 18 of the ship's 11,000 bags of scallops. One of the questions the lawyers asked Bennett was "Can a reliable estimate of the mean weight of all the scallops be obtained from a sample of size $18 ?$ " Give your opinion on this issue.
b. As stated in the article, the government's decision rule is to confiscate a catch if the sample mean weight of the scallops is less than $\frac{1}{36}$ of a pound. Do you see any flaws in this rule?
c. Develop your own procedure for determining whether a ship is in violation of the minimum-weight restriction. Apply your rule to the data. Draw a conclusion about the ship in question.
$$\begin{array}{lllllllll}
\hline .93 & .88 & .85 & .91 & .91 & .84 & .90 & .98 & .88 \\
.89 & .98 & .87 & .91 & .92 & .99 & 1.14 & 1.06 & .93 \\\hline\end{array}$$

Sana Riaz
Sana Riaz
Numerade Educator
01:21

Problem 152

Sampling of Medicare and Medicaid claims by the federal and state agencies who administer those programs has become common practice to determine whether providers of those services are submitting valid claims. (See the Statistics in Action for this chapter.) The reliability of inferences based on those samples depends on the methodology used to collect the sample of claims. Consider estimating the true proportion, $p,$ of the population of claims that are invalid. (Invalid claims should not have been reimbursed by the agency.) Of course, to estimate a binomial parameter, $p$, within a given level of precision, we use the formula provided in Section 7.5 to determine the necessary sample size. In a recent actual case, the statistician determined a sample size large enough to ensure that the bound on the error of the estimate would not exceed $.05,$ using a $95 \%$ confidence interval. He did so by assuming that the true error rate was $p=.5,$ which, as discussed in Section $7.5,$ provides the maximum sample size needed to achieve the desired bound on the error.
a. Determine the sample size necessary to estimate $p$ to within .05 of the true value using a $95 \%$ confidence interval.
b. After the sample was selected and the sampled claims were audited, it was determined that the estimated error rate was $\hat{p}=.20$ and a $95 \%$ confidence interval for $p$ was (.15, .25) . Was the desired bound on the error of the estimate met?
c. An economist hired by the Medicare provider noted that, since the desired bound on the error of .05 is equal to $25 \%$ of the estimated $\hat{p}=.20$ invalid claim rate, the "true" bound on the error was $.25,$ not $.05 .$ He argued that a significantly larger sample would be necessary to meet the "relative error" (the bound on the error divided by the error rate) goal of $.05,$ that the statistician's use of the "absolute error" of .05 was inappropriate, and that more sampling was required. The statistician argued that the relative error is a moving target because it depends on the sample estimate of the invalid claim rate, which cannot be known prior to selecting the sample. He noted that if the estimated invalid claim rate turned out to be larger than $.5,$ the relative error would then be lower than the absolute error bound. As a consequence, the case went to trial over the relative versus absolute error dispute. Give your opinion on the matter. [Note: The court concluded that "absolute error was the fair and accurate measure of the margin of error." As a result, a specified absolute bound on the error continues to be the accepted method for determining the sample size necessary to provide a reliable estimate of Medicare and Medicaid providers' claim submission error rates.]

Tyler Moulton
Tyler Moulton
Numerade Educator