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Understandable Statistics : Concepts and Methods

Charles Henry Brase

Chapter 7

Estimation - all with Video Answers

Educators


Section 1

Estimating $\mu$ When $\sigma$ Is Known

00:38

Problem 1

Answer true or false. Explain your answer.
The value $z_{c}$ is a value from the standard normal distribution such that $P\left(-z_{c}<x<z_{c}\right)=c$.

Hossam Mohamed
Hossam Mohamed
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00:34

Problem 2

Answer true or false. Explain your answer.
The point estimate for the population mean $\mu$ of an $x$ distribution is $\bar{x}$, computed from a random sample of the $x$ distribution.

Hossam Mohamed
Hossam Mohamed
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00:21

Problem 3

Answer true or false. Explain your answer.
Consider a random sample of size $n$ from an $x$ distribution. For such a sample, the margin of error for estimating $\mu$ is the magnitude of the difference between $\bar{x}$ and $\mu$.

Hossam Mohamed
Hossam Mohamed
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00:31

Problem 4

Answer true or false. Explain your answer.

Every random sample of the same size from a given population will produce exactly the same confidence interval for $\mu$.

Hossam Mohamed
Hossam Mohamed
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00:25

Problem 5

Answer true or false. Explain your answer.
A larger sample size produces a longer confidence interval for $\mu$.

Hossam Mohamed
Hossam Mohamed
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00:25

Problem 6

Answer true or false. Explain your answer.
If the original $x$ distribution has a relatively small standard deviation, the confidence interval for $\mu$ will be relatively short.

Hossam Mohamed
Hossam Mohamed
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01:04

Problem 7

Answer true or false. Explain your answer.
If the sample mean $\bar{x}$ of a random sample from an $x$ distribution is relatively small, then the confidence interval for $\mu$ will be relatively short.

Harsh Gadhiya
Harsh Gadhiya
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00:27

Problem 8

Answer true or false. Explain your answer.
For the same random sample, when the confidence level $c$ is reduced, the confidence interval for $\mu$ becomes shorter.

Hossam Mohamed
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00:40

Problem 9

Sam computed a $95 \%$ confidence interval for $\mu$ from a specific random sample. His confidence interval was $10.1<\mu<12.2 .$ He claims that the probability that $\mu$ is in this interval is $0.95 .$ What is wrong with his claim?

Hossam Mohamed
Hossam Mohamed
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00:39

Problem 10

Sam computed a $90 \%$ confidence interval for $\mu$ from a specific random sample of size $n .$ He claims that at the $90 \%$ confidence level, his confidence interval contains $\mu$. Is his claim correct? Explain.

Hossam Mohamed
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01:14

Problem 11

Suppose $x$ has a normal distribution with $\sigma=6 .$ A random sample of size 16 has sample mean $50 .$
(a) Check Requirements Is it appropriate to use a normal distribution to compute a confidence interval for the population mean $\mu ?$ Explain.
(b) Find a $90 \%$ confidence interval for $\mu$.
(c) Interpretation Explain the meaning of the confidence interval you computed.

Hossam Mohamed
Hossam Mohamed
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01:12

Problem 12

Suppose $x$ has a mound-shaped distribution with $\sigma=9$. A random sample of size 36 has sample mean 20 .
(a) Check Requirements Is it appropriate to use a normal distribution to compute a confidence interval for the population mean $\mu$ ? Explain.
(b) Find a $95 \%$ confidence interval for $\mu .$
(c) Interpretation Explain the meaning of the confidence interval you computed

Hossam Mohamed
Hossam Mohamed
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Problem 13

Suppose $x$ has a mound-shaped distribution with $\sigma=3$.
(a) Find the minimal sample size required so that for a $95 \%$ confidence interval, the maximal margin of error is $E=0.4$.
(b) Check Requirements Based on this sample size, can we assume that the $\bar{x}$ distribution is approximately normal? Explain.

Rashmi Sinha
Rashmi Sinha
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01:19

Problem 14

Suppose $x$ has a normal distribution with $\sigma=1.2$
(a) Find the minimal sample size required so that for a $90 \%$ confidence interval, the maximal margin of error is $E=0.5$.
(b) Check Requirements Based on this sample size and the $x$ distribution, can we assume that the $\bar{x}$ distribution is approximately normal? Explain.

Hossam Mohamed
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01:16

Problem 15

Allen's hummingbird (Selasphorus sasin) has been studied by zoologist Bill Alther (Reference: Hummingbirds by $\mathrm{K}$. Long and
W. Alther). A small group of 15 Allen's hummingbirds has been under study in Arizona. The average weight for these birds is $\bar{x}=3.15$ grams. Based on previous studies, we can assume that the weights of Allen's hummingbirds have a normal distribution, with $\sigma=0.33$ gram.
(a) Find an $80 \%$ confidence interval for the average weights of Allen's hummingbirds in the study region. What is the margin of error?
(b) What conditions are necessary for your calculations?
(c) Interpret Compare your results in the context of this problem.
(d) Sample Size Find the sample size necessary for an $80 \%$ confidence level with a maximal margin of error $E=0.08$ for the mean weights of the hummingbirds.

Hossam Mohamed
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02:14

Problem 16

Uric Acid Overproduction of uric acid in the body can be an indication of cell breakdown. This may be an advance indication of illness such as gout, leukemia, or lymphoma (Reference: Manual of Laboratory and Diagnostic Tests by $\mathrm{F}$. Fischbach). Over a period of months, an adult male patient has taken eight blood tests for uric acid. The mean concentration was $\bar{x}=5.35 \mathrm{mg} / \mathrm{d}$. The distribution of uric acid in healthy adult males can be assumed to be normal, with $\sigma=1.85 \mathrm{mg} / \mathrm{d}$ l.
(a) Find a $95 \%$ confidence interval for the population mean concentration of uric acid in this patient's blood. What is the margin of error?
(b) What conditions are necessary for your calculations?
(c) Interpret Compare your results in the context of this problem.
(d) Sample Size Find the sample size necessary for a $95 \%$ confidence level with maximal margin of error $E=1.10$ for the mean concentration of uric acid in this patient's blood.

Hossam Mohamed
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Problem 17

Plasma Volume Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. (Reference: See Problem 16.) Suppose that a random sample of 45 male firefighters are tested and that they have a plasma
volume sample mean of $\bar{x}=37.5 \mathrm{ml} / \mathrm{kg}$ (milliliters plasma per kilogram body weight). Assume that $\sigma=7.50 \mathrm{ml} / \mathrm{kg}$ for the distribution of blood plasma.
(a) Find a $99 \%$ confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error?
(b) What conditions are necessary for your calculations?
(c) Interpret Compare your results in the context of this problem.
(d) Sample Size Find the sample size necessary for a $99 \%$ confidence level with maximal margin of error $E=2.50$ for the mean plasma volume in male firefighters.

Rashmi Sinha
Rashmi Sinha
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02:35

Problem 18

What price do farmers get for their watermelon crops? In the third week of July, a random sample of 40 farming regions gave a sample mean of $\bar{x}=\$ 6.88$ per 100 pounds of watermelon. Assume that $\sigma$ is known to be $\$ 1.92$ per 100 pounds (Reference: Agricultural Statistics, U.S. Department of Agriculture).
(a) Find a $90 \%$ confidence interval for the population mean price (per 100 pounds) that farmers in this region get for their watermelon crop. What is the margin of error?
(b) Sample Size Find the sample size necessary for a $90 \%$ confidence level with maximal margin of error $E=0.3$ for the mean price per 100 pounds of watermelon.
(c) A farm brings 15 tons of watermelon to market. Find a $90 \%$ confidence interval for the population mean cash value of this crop. What is the margin of error? Hint: 1 ton is 2000 pounds.

Hossam Mohamed
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03:13

Problem 19

FBI Report: Larceny Thirty small communities in Connecticut (population near 10,000 each) gave an average of $\bar{x}=138.5$ reported cases of larceny per year. Assume that $\sigma$ is known to be $42.6$ cases per year (Reference: Crime in the United States, Federal Bureau of Investigation).
(a) Find a $90 \%$ confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error?
(b) Find a $95 \%$ confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error?
(c) Find a $99 \%$ confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error?
(d) Compare the margins of error for parts (a) through (c). As the confidence levels increase, do the margins of error increase?
(e) Critical Thinking: Compare the lengths of the confidence intervals for parts
(a) through (c). As the confidence levels increase, do the confidence intervals increase in length?

Hossam Mohamed
Hossam Mohamed
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03:08

Problem 20

Confidence Intetvals: Values of $\sigma$ A random sample of size 36 is drawn from an $x$ distribution. The sample mean is $100 .$
(a) Suppose the $x$ distribution has $\sigma=30$. Compute a $90 \%$ confidence interval for $\mu$. What is the value of the margin of error?
(b) Suppose the $x$ distribution has $\sigma=20$. Compute a $90 \%$ confidence interval for $\mu$. What is the value of the margin of error?
(c) Suppose the $x$ distribution has $\sigma=10$. Compute a $90 \%$ confidence interval for $\mu$. What is the value of the margin of error?
(d) Compare the margins of error for parts (a) through (c). As the standard deviation decreases, does the margin of error decrease?
(e) Critical Thinking Compare the lengths of the confidence intervals for parts
(a) through (c). As the standard deviation decreases, does the length of a $90 \%$ confidence interval decrease?

Hossam Mohamed
Hossam Mohamed
Numerade Educator
02:05

Problem 21

Confidence Intervals: Sample Size A random sample is drawn from a population with $\sigma=12$. The sample mean is 30 .
(a) Compute a $95 \%$ confidence interval for $\mu$ based on a sample of size 49 . What is the value of the margin of error?
(b) Compute a $95 \%$ confidence interval for $\mu$ based on a sample of size 100 . What is the value of the margin of error?
(c) Compute a $95 \%$ confidence interval for $\mu$ based on a sample of size 225 . What is the value of the margin of error?
(d) Compare the margins of error for parts (a) through (c). As the sample size increases, does the margin of error decrease?
(e) Critical Thinking Compare the lengths of the confidence intervals for parts
(a) through (c). As the sample size increases, does the length of a $90 \%$ confidence interval decrease?

Hossam Mohamed
Hossam Mohamed
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01:37

Problem 22

Ecology: Sand Dunes At wind speeds above 1000 centimeters per second $(\mathrm{cm} / \mathrm{sec})$, significant sand-moving events begin to occur. Wind speeds below $1000 \mathrm{~cm} / \mathrm{sec}$ deposit sand, and wind speeds above $1000 \mathrm{~cm} / \mathrm{sec}$ move sand to new locations. The cyclic nature of wind and moving sand determines the shape and location of large dunes (Reference: Hydraulic, Geologic, and Biologic Research at Great Sand Dunes National Monument and Vicinity, Colorado, Proceedings of the National Park Service Research Symposium). At a test site, the prevailing direction of the wind did not change noticeably. However, the velocity did change. Sixty wind speed readings gave an average velocity of $\bar{x}=1075 \mathrm{~cm} / \mathrm{sec} .$ Based on long-term experience, $\sigma$ can be assumed to be $265 \mathrm{~cm} / \mathrm{sec} .$
(a) Find a $95 \%$ confidence interval for the population mean wind speed at this site.
(b) Interpretation Does the confidence interval indicate that the population mean wind speed is such that the sand is always moving at this site? Explain.

Sheryl Ezze
Sheryl Ezze
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04:31

Problem 23

Profits: Banks Jobs and productivity! How do banks rate? One way to answer this question is to examine annual profits per employee. Forbes Top Companies, edited by J. T. Davis (John Wiley \& Sons), gave the following data about annual profits per employee (in units of one thousand dollars per employee) for representative companies in financial services. Companies such as Wells Fargo, First Bank System, and Key Banks were included. Assume $\sigma \approx 10.2$ thousand dollars.$$
\begin{array}{lllllllllll}
42.9 & 43.8 & 48.2 & 60.6 & 54.9 & 55.1 & 52.9 & 54.9 & 42.5 & 33.0 & 33.6 \\
36.9 & 27.0 & 47.1 & 33.8 & 28.1 & 28.5 & 29.1 & 36.5 & 36.1 & 26.9 & 27.8 \\
28.8 & 29.3 & 31.5 & 31.7 & 31.1 & 38.0 & 32.0 & 31.7 & 32.9 & 23.1 & 54.9 \\
43.8 & 36.9 & 31.9 & 25.5 & 23.2 & 29.8 & 22.3 & 26.5 & 26.7 & &
\end{array}
$$
(a) Use a calculator or appropriate computer software to verify that, for the preceding data, $\bar{x} \approx 36.0$.
(b) Let us say that the preceding data are representative of the entire sector of (successful) financial services corporations. Find a $75 \%$ confidence interval for $\mu$, the average annual profit per employee for all successful banks.
(c) Interpretation Let us say that you are the manager of a local bank with a large number of employees. Suppose the annual profits per employee are less than 30 thousand dollars per employee. Do you think this might be somewhat low compared with other successful financial institutions? Explain by referring to the confidence interval you computed in part (b).
(d) Interpretation Suppose the annual profits are more than 40 thousand dollars per employee. As manager of the bank, would you feel somewhat better? Explain by referring to the confidence interval you computed in part (b).
(e) Repeat parts (b), (c), and
(d) for a $90 \%$ confidence level.

Jerrah Biggerstaff
Jerrah Biggerstaff
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02:20

Problem 24

Profits: Retail Jobs and productivity! How do retail stores rate? One way to answer this question is to examine annual profits per employee. The following data give annual profits per employee (in units of one thousand dollars per employee) for companies in retail sales. (See reference in Problem 23.) Companies such as Gap, Nordstrom, Dillards, JCPenney, Sears, Wal-Mart, Office Depot, and Toys "?" Us are included. Assume $\sigma \approx 3.8$ thousand dollars.
$$
\begin{array}{rrrrrrrrrrrr}
4.4 & 6.5 & 4.2 & 8.9 & 8.7 & 8.1 & 6.1 & 6.0 & 2.6 & 2.9 & 8.1 & -1.9 \\
11.9 & 8.2 & 6.4 & 4.7 & 5.5 & 4.8 & 3.0 & 4.3 & -6.0 & 1.5 & 2.9 & 4.8 \\
-1.7 & 9.4 & 5.5 & 5.8 & 4.7 & 6.2 & 15.0 & 4.1 & 3.7 & 5.1 & 4.2 &
\end{array}
$$
(a) Use a calculator or appropriate computer software to verify that, for the preceding data, $\bar{x} \approx 5.1$
(b) Let us say that the preceding data are representative of the entire sector of retail sales companies. Find an $80 \%$ confidence interval for $\mu$, the average annual profit per employee for retail sales.
(c) Interpretation Let us say that you are the manager of a retail store with a large number of employees. Suppose the annual profits per employee are less than 3 thousand dollars per employee. Do you think this might be low compared with other retail stores? Explain by referring to the confidence interval you computed in part (b).
(d) Interpretation Suppose the annual profits are more than $6.5$ thousand dollars per employee. As store manager, would you feel somewhat better? Explain by referring to the confidence interval you computed in part (b).
(e) Repeat parts (b), (c), and (d) for a $95 \%$ confidence interval.

Nick Johnson
Nick Johnson
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00:52

Problem 25

Ballooning: Air Temperature How hot is the air in the top (crown) of a hot air balloon? Information from Ballooning: The Complete Guide to Riding the Winds by Wirth and Young (Random House) claims that the air in the crown should be an average of $100^{\circ} \mathrm{C}$ for a balloon to be in a state of equilibrium. However, the temperature does not need to be exactly $100^{\circ} \mathrm{C}$. What is a reasonable and safe range of temperatures? This range may vary with the size and $(\mathrm{dec}-$ orative) shape of the balloon. All balloons have a temperature gauge in the crown. Suppose that 56 readings (for a balloon in equilibrium) gave a mean temperature of $\bar{x}=97^{\circ} \mathrm{C}$. For this balloon, $\sigma \approx 17^{\circ} \mathrm{C}$.
(a) Compute a $95 \%$ confidence interval for the average temperature at which this balloon will be in a steady-state equilibrium.
(b) Interpretation If the average temperature in the crown of the balloon goes above the high end of your confidence interval, do you expect that the balloon will go up or down? Explain.

Hossam Mohamed
Hossam Mohamed
Numerade Educator