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Introductory Business Statistics

Alexander Holmes, Barbara Illowsky, Susan Dean

Chapter 9

Hypothesis Testing with One Sample - all with Video Answers

Educators

Chapter Questions

02:23

Problem 1

You are testing that the mean speed of your cable Internet connection is more than three Megabits per second. What is the random variable? Describe in words.

Sanchit Jain
Sanchit Jain
Numerade Educator
01:14

Problem 2

You are testing that the mean speed of your cable Internet connection is more than three Megabits per second. State the null and alternative hypotheses.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
00:29

Problem 3

The American family has an average of two children. What is the random variable? Describe in words.

Bon Zapata
Bon Zapata
Numerade Educator
02:14

Problem 4

The mean entry level salary of an employee at a company is $\$ 58,000 .$ You believe it is higher for $\mathrm{IT}$ professionals in the company. State the null and alternative hypotheses.

Bon Zapata
Bon Zapata
Numerade Educator
00:49

Problem 5

A sociologist claims the probability that a person picked at random in Times Square in New York City is visiting the area is 0.83. You want to test to see if the proportion is actually less. What is the random variable? Describe in words.

Bon Zapata
Bon Zapata
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Problem 6

A sociologist claims the probability that a person picked at random in Times Square in New York City is visiting the area is 0.83. You want to test to see if the claim is correct. State the null and alternative hypotheses.

James Kiss
James Kiss
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Problem 7

In a population of fish, approximately $42 \%$ are female. A test is conducted to see if, in fact, the proportion is less. State the null and alternative hypotheses.

Wei Zhang
Wei Zhang
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Problem 8

Suppose that a recent article stated that the mean time spent in jail by a first-time convicted burglar is 2.5 years. A study was then done to see if the mean time has increased in the new century. A random sample of 26 first-time convicted burglars in a recent year was picked. The mean length of time in jail from the survey was 3 years with a standard deviation of 1.8 years. Suppose that it is somehow known that the population standard deviation is $1.5 .$ If you were conducting a hypothesis test to determine if the mean length of jail time has increased, what would the null and alternative hypotheses be? The distribution of the population is normal.
a. $H_{0}$ : ______
b. $H_{a}$ : _____

Danielle Fairburn
Danielle Fairburn
Numerade Educator
00:56

Problem 9

A random survey of 75 death row inmates revealed that the mean length of time on death row is 17.4 years with a standard deviation of 6.3 years. If you were conducting a hypothesis test to determine if the population mean time on death row could likely be 15 years, what would the null and alternative hypotheses be?
a. $\quad H_{0}$ : ______
b. $\quad H_{a}$ : _____

Bon Zapata
Bon Zapata
Numerade Educator
01:42

Problem 10

The National Institute of Mental Health published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, seven of them suffered from depression or a depressive illness. If you were conducting a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult American population, what would the null and alternative hypotheses be?
a. $H_{0}$: _____
b. $H_{a}$ :____

Bon Zapata
Bon Zapata
Numerade Educator
01:15

Problem 11

Outcomes and the Type I and Type II Errors
The mean price of mid-sized cars in a region is $\$ 32,000 .$ A test is conducted to see if the claim is true. State the Type I and Type II errors in complete sentences.

Robin Corrigan
Robin Corrigan
Numerade Educator
01:05

Problem 12

A sleeping bag is tested to withstand temperatures of $-15^{\circ} \mathrm{F}$. You think the bag cannot stand temperatures that low. State the Type I and Type II errors in complete sentences.

Robin Corrigan
Robin Corrigan
Numerade Educator
00:57

Problem 13

For Exercise $9.12,$ what are $\alpha$ and $\beta$ in words?

Robin Corrigan
Robin Corrigan
Numerade Educator
02:44

Problem 14

In words, describe $1-\beta$ For Exercise 9.12

Robin Corrigan
Robin Corrigan
Numerade Educator
00:43

Problem 15

A group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, $H_{0}$, is: the surgical procedure will go well. State the Type I and Type II errors in complete sentences.

Robin Corrigan
Robin Corrigan
Numerade Educator
01:09

Problem 16

A group of doctors is deciding whether or not to perform an operation. Suppose the null hypothesis, $H_{0}$, is: the surgical procedure will go well. Which is the error with the greater consequence?

Robin Corrigan
Robin Corrigan
Numerade Educator
00:58

Problem 17

The power of a test is 0.981. What is the probability of a Type II error?

Robin Corrigan
Robin Corrigan
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00:41

Problem 18

A group of divers is exploring an old sunken ship. Suppose the null hypothesis, $H_{0}$, is: the sunken ship does not contain buried treasure. State the Type I and Type II errors in complete sentences.

Robin Corrigan
Robin Corrigan
Numerade Educator
02:36

Problem 19

A microbiologist is testing a water sample for E-coli. Suppose the null hypothesis, $H_{0}$, is: the sample does not contain $E$ coli. The probability that the sample does not contain E-coli, but the microbiologist thinks it does is 0.012. The probability that the sample does contain E-coli, but the microbiologist thinks it does not is 0.002. What is the power of this test?

Robin Corrigan
Robin Corrigan
Numerade Educator
01:31

Problem 20

A microbiologist is testing a water sample for E-coli. Suppose the null hypothesis, $H_{0}$, is: the sample contains E-coli. Which is the error with the greater consequence?

Robin Corrigan
Robin Corrigan
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00:29

Problem 21

Distribution Needed for Hypothesis Testing
Which two distributions can you use for hypothesis testing for this chapter?

Bryan Meares
Bryan Meares
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00:16

Problem 22

Which distribution do you use when you are testing a population mean and the population standard deviation is known? Assume sample size is large. Assume a normal distribution with $\mathrm{n} \geq 30 .$

Bryan Meares
Bryan Meares
Numerade Educator
00:23

Problem 23

Which distribution do you use when the standard deviation is not known and you are testing one population mean? Assume a normal distribution, with $n \geq 30$.

Bryan Meares
Bryan Meares
Numerade Educator
00:28

Problem 24

A population mean is $13 .$ The sample mean is 12.8 , and the sample standard deviation is two. The sample size is $20 .$ What distribution should you use to perform a hypothesis test? Assume the underlying population is normal.

Bryan Meares
Bryan Meares
Numerade Educator
00:34

Problem 25

A population has a mean is 25 and a standard deviation of five. The sample mean is $24,$ and the sample size is $108 .$ What distribution should you use to perform a hypothesis test?

Bryan Meares
Bryan Meares
Numerade Educator
00:21

Problem 26

It is thought that $42 \%$ of respondents in a taste test would prefer Brand $A$. In a particular test of 100 people, preferred Brand $A$. What distribution should you use to perform a hypothesis test?

Bryan Meares
Bryan Meares
Numerade Educator
00:24

Problem 27

You are performing a hypothesis test of a single population mean using a Student's $t$ -distribution. What must you assume about the distribution of the data?

Bryan Meares
Bryan Meares
Numerade Educator
00:38

Problem 28

You are performing a hypothesis test of a single population mean using a Student's $t$ -distribution. The data are not from a simple random sample. Can you accurately perform the hypothesis test?

Bryan Meares
Bryan Meares
Numerade Educator
00:21

Problem 29

You are performing a hypothesis test of a single population proportion. What must be true about the quantities of $n p$ and $n q$ ?

Bryan Meares
Bryan Meares
Numerade Educator
00:25

Problem 30

You are performing a hypothesis test of a single population proportion. You find out that $n p$ is less than five. What must you do to be able to perform a valid hypothesis test?

Bryan Meares
Bryan Meares
Numerade Educator
00:24

Problem 31

You are performing a hypothesis test of a single population proportion. The data come from which distribution?

Bryan Meares
Bryan Meares
Numerade Educator
01:28

Problem 32

Full Hypothesis Test Examples
Assume $H_{0}: \mu=9$ and $H_{a}: \mu<9 .$ Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
01:41

Problem 33

Assume $H_{0}: \mu \leq 6$ and $H_{a}: \mu>6 .$ Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
01:57

Problem 34

Assume $H_{0}: p=0.25$ and $H_{a}: p \neq 0.25 .$ Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
01:43

Problem 35

Draw the general graph of a left-tailed test.

Lucas Everson
Lucas Everson
Numerade Educator
01:18

Problem 36

Draw the graph of a two-tailed test.

Lucas Everson
Lucas Everson
Numerade Educator
01:28

Problem 37

A bottle of water is labeled as containing 16 fluid ounces of water. You believe it is less than that. What type of test would you use?

Lucas Everson
Lucas Everson
Numerade Educator
01:54

Problem 38

Your friend claims that his mean golf score is $63 .$ You want to show that it is higher than that. What type of test would you use?

Lucas Everson
Lucas Everson
Numerade Educator
02:05

Problem 39

A bathroom scale claims to be able to identify correctly any weight within a pound. You think that it cannot be that accurate. What type of test would you use?

Lucas Everson
Lucas Everson
Numerade Educator
02:07

Problem 40

You flip a coin and record whether it shows heads or tails. You know the probability of getting heads is $50 \%,$ but you think it is less for this particular coin. What type of test would you use?

Lucas Everson
Lucas Everson
Numerade Educator
01:48

Problem 41

If the alternative hypothesis has a not equals ( $\neq$ ) symbol, you know to use which type of test?

Lucas Everson
Lucas Everson
Numerade Educator
04:21

Problem 42

Assume the null hypothesis states that the mean is at least $18 .$ Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
02:49

Problem 43

Assume the null hypothesis states that the mean is at most $12 .$ Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
01:52

Problem 44

Assume the null hypothesis states that the mean is equal to $88 .$ The alternative hypothesis states that the mean is not equal to 88. Is this a left-tailed, right-tailed, or two-tailed test?

Lucas Everson
Lucas Everson
Numerade Educator
03:19

Problem 45

Null and Alternative Hypotheses
Some of the following statements refer to the null hypothesis, some to the alternate hypothesis.
State the null hypothesis, $H_{0}$, and the alternative hypothesis. $H_{a}$, in terms of the appropriate parameter $(\mu \text { or } p)$.
a. The mean number of years Americans work before retiring is 34.
b. At most $60 \%$ of Americans vote in presidential elections.
c. The mean starting salary for San Jose State University graduates is at least $\$ 100,000$ per year.
d. Twenty-nine percent of high school seniors get drunk each month.
e. Fewer than $5 \%$ of adults ride the bus to work in Los Angeles.
f. The mean number of cars a person owns in her lifetime is not more than ten.
g. About half of Americans prefer to live away from cities, given the choice.
h. Europeans have a mean paid vacation each year of six weeks.
i. The chance of developing breast cancer is under $11 \%$ for women.
j. Private universities' mean tuition cost is more than $\$ 20,000$ per year.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
01:15

Problem 46

Over the past few decades, public health officials have examined the link between weight concerns and teen girls' smoking. Researchers surveyed a group of 273 randomly selected teen girls living in Massachusetts (between 12 and 15 years old). After four years the girls were surveyed again. Sixty-three said they smoked to stay thin. Is there good evidence that more than thirty percent of the teen girls smoke to stay thin? The alternative hypothesis is:
a. $p<0.30$
b. $p \leq 0.30$
c. $p \geq 0.30$
d. $p>0.30$

Bon Zapata
Bon Zapata
Numerade Educator
01:06

Problem 47

A statistics instructor believes that fewer than $20 \%$ of Evergreen Valley College (EVC) students attended the opening night midnight showing of the latest Harry Potter movie. She surveys 84 of her students and finds that 11 attended the midnight showing. An appropriate alternative hypothesis is:
a. $p=0.20$
b. $p>0.20$
c. $p<0.20$
d. $p \leq 0.20$

Bon Zapata
Bon Zapata
Numerade Educator
02:10

Problem 48

Previously, an organization reported that teenagers spent 4.5 hours per week, on average, on the phone. The organization thinks that, currently, the mean is higher. Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of $2.0 .$ Conduct a hypothesis test. The null and alternative hypotheses are:
a. $H_{o}: \bar{x}=4.5, H_{a}: \bar{x}>4.5$
b. $H_{o}: \mu \geq 4.5, H_{a}: \mu<4.5$
c. $\quad H_{o}: \mu=4.75, H_{a}: \mu>4.75$
d. $H_{o}: \mu=4.5, H_{a}: \mu>4.5$

Bon Zapata
Bon Zapata
Numerade Educator
02:19

Problem 49

State the Type I and Type II errors in complete sentences given the following statements.
a. The mean number of years Americans work before retiring is 34
b. At most $60 \%$ of Americans vote in presidential elections.
c. The mean starting salary for San Jose State University graduates is at least $\$ 100,000$ per year.
d. Twenty-nine percent of high school seniors get drunk each month.
e. Fewer than $5 \%$ of adults ride the bus to work in Los Angeles.
f. The mean number of cars a person owns in his or her lifetime is not more than ten.
g. About half of Americans prefer to live away from cities, given the choice.
h. Europeans have a mean paid vacation each year of six weeks.
i. The chance of developing breast cancer is under $11 \%$ for women.
j. Private universities mean tuition cost is more than $\$ 20,000$ per year.

Alexander Cheng
Alexander Cheng
Numerade Educator
01:05

Problem 50

For statements a-j in Exercise 9.109, answer the following in complete sentences.
a. State a consequence of committing a Type I error.
b. State a consequence of committing a Type II error.

Lucas Finney
Lucas Finney
Numerade Educator
01:04

Problem 51

When a new drug is created, the pharmaceutical company must subject it to testing before receiving the necessary permission from the Food and Drug Administration (FDA) to market the drug. Suppose the null hypothesis is "the drug is unsafe." What is the Type II Error?
a. To conclude the drug is safe when in, fact, it is unsafe.
b. Not to conclude the drug is safe when, in fact, it is safe.
c. To conclude the drug is safe when, in fact, it is safe.
d. Not to conclude the drug is unsafe when, in fact, it is unsafe.

Robin Corrigan
Robin Corrigan
Numerade Educator
01:38

Problem 52

A statistics instructor believes that fewer than $20 \%$ of Evergreen Valley College (EVC) students attended the opening midnight showing of the latest Harry Potter movie. She surveys 84 of her students and finds that 11 of them attended the midnight showing. The Type I error is to conclude that the percent of EVC students who attended is
a. at least $20 \%,$ when in fact, it is less than $20 \%$.
b. $20 \%,$ when in fact, it is $20 \% .$
c. less than $20 \%,$ when in fact, it is at least $20 \%$
d. less than $20 \%,$ when in fact, it is less than $20 \% .$

Robin Corrigan
Robin Corrigan
Numerade Educator
01:50

Problem 53

It is believed that Lake Tahoe Community College (LTCC) Intermediate Algebra students get less than seven hours of sleep per night, on average. A survey of 22 LTCC Intermediate Algebra students generated a mean of 7.24 hours with a standard deviation of 1.93 hours. At a level of significance of $5 \%,$ do LTCC Intermediate Algebra students get less than seven hours of sleep per night, on average?
The Type II error is not to reject that the mean number of hours of sleep LTCC students get per night is at least seven when, in fact, the mean number of hours
a. is more than seven hours.
b. is at most seven hours.
c. is at least seven hours.
d. is less than seven hours.

Robin Corrigan
Robin Corrigan
Numerade Educator
00:53

Problem 54

Previously, an organization reported that teenagers spent 4.5 hours per week, on average, on the phone. The organization thinks that, currently, the mean is higher. Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of $2.0 .$ Conduct a hypothesis test, the Type I error is: to conclude that the current mean hours per week is higher than $4.5,$ when in fact, it is higher.
b. to conclude that the current mean hours per week is higher than $4.5,$ when in fact, it is the same.
c. to conclude that the mean hours per week currently is 4.5, when in fact, it is higher.
d. to conclude that the mean hours per week currently is no higher than $4.5,$ when in fact, it is not higher.

Shareef Jackson
Shareef Jackson
Numerade Educator
00:35

Problem 55

55. It is believed that Lake Tahoe Community College (LTCC) Intermediate Algebra students get less than seven hours of sleep per night, on average. A survey of 22 LTCC Intermediate Algebra students generated a mean of 7.24 hours with standard deviation of 1.93 hours. At a level of significance of $5 \%,$ do LTCC Intermediate Algebra students get less than seven hours of sleep per night, on average? The distribution to be used for this test is $\bar{X} \sim$ _________
a. $\quad N\left(7.24, \frac{1.93}{\sqrt{22}}\right)$
b. $\quad N(7.24,1.93)$
c. $t_{22}$
d. $t_{21}$

Bryan Meares
Bryan Meares
Numerade Educator
03:14

Problem 56

Full Hypothesis Test Examples
A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be $8,000 .$ A survey of owners of that tire design is conducted. From the 28 tires surveyed, the mean lifespan was 46,500 miles with a standard deviation of 9,800 miles. Using alpha $=$ $0.05,$ is the data highly inconsistent with the claim?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:26

Problem 57

From generation to generation, the mean age when smokers first start to smoke varies. However, the standard deviation of that age remains constant of around 2.1 years. A survey of 40 smokers of this generation was done to see if the mean starting age is at least $19 .$ The sample mean was 18.1 with a sample standard deviation of $1.3 .$ Do the data support the claim at the $5 \%$ level?

Sheryl Ezze
Sheryl Ezze
Numerade Educator
02:58

Problem 58

The cost of a daily newspaper varies from city to city. However, the variation among prices remains steady with a standard deviation of 20c. A study was done to test the claim that the mean cost of a daily newspaper is $\$ 1.00 .$ Twelve costs yield a mean cost of $95 \mathrm{c}$ with a standard deviation of $18 \mathrm{c}$. Do the data support the claim at the $1 \%$ level?

Lucas Everson
Lucas Everson
Numerade Educator
04:49

Problem 59

An article in the San Jose Mercury News stated that students in the California state university system take 4.5 years, on average, to finish their undergraduate degrees. Suppose you believe that the mean time is longer. You conduct a survey of 49 students and obtain a sample mean of 5.1 with a sample standard deviation of $1.2 .$ Do the data support your claim at the 1\% level?

Willis James
Willis James
Numerade Educator
03:06

Problem 60

The mean number of sick days an employee takes per year is believed to be about ten. Members of a personnel department do not believe this figure. They randomly survey eight employees. The number of sick days they took for the past year are as follows: $12 ; 4 ; 15 ; 3 ; 11 ; 8 ; 6 ; 8 .$ Let $x=$ the number of sick days they took for the past year. Should the personnel team believe that the mean number is ten?

Lucas Everson
Lucas Everson
Numerade Educator
02:52

Problem 61

In $1955,$ Life Magazine reported that the 25 year-old mother of three worked, on average, an 80 hour week. Recently, many groups have been studying whether or not the women's movement has, in fact, resulted in an increase in the average work week for women (combining employment and at-home work). Suppose a study was done to determine if the mean work week has increased. 81 women were surveyed with the following results. The sample mean was $83 ;$ the sample standard deviation was ten. Does it appear that the mean work week has increased for women at the $5 \%$ level?

Lucas Everson
Lucas Everson
Numerade Educator
03:14

Problem 62

Your statistics instructor claims that 60 percent of the students who take her Elementary Statistics class go through life feeling more enriched. For some reason that she can't quite figure out, most people don't believe her. You decide to check this out on your own. You randomly survey 64 of her past Elementary Statistics students and find that 34 feel more enriched as a result of her class. Now, what do you think?

Lucas Everson
Lucas Everson
Numerade Educator
03:10

Problem 63

A Nissan Motor Corporation advertisement read, "The average man's I.Q. is 107. The average brown trout's I.Q. is 4. So why can't man catch brown trout?" Suppose you believe that the brown trout's mean I.Q. is greater than four. You catch 12 brown trout. A fish psychologist determines the I.Q.s as follows: $5 ; 4 ; 7 ; 3 ; 6 ; 4 ; 5 ; 3 ; 6 ; 3 ; 8 ; 5 .$ Conduct a hypothesis test of your belief.

Robin Corrigan
Robin Corrigan
Numerade Educator
02:06

Problem 64

Refer to Exercise 9.119. Conduct a hypothesis test to see if your decision and conclusion would change if your belief were that the brown trout's mean I.Q. is not four.

Robin Corrigan
Robin Corrigan
Numerade Educator
View

Problem 65

According to an article in Newsweek, the natural ratio of girls to boys is $100: 105 .$ In China, the birth ratio is 100: 114 (46.7\% girls). Suppose you don't believe the reported figures of the percent of girls born in China. You conduct a study. In this study, you count the number of girls and boys born in 150 randomly chosen recent births. There are 60 girls and 90 boys born of the $150 .$ Based on your study, do you believe that the percent of girls born in China is $46.7 ?$

Susan Hallstrom
Susan Hallstrom
Numerade Educator
07:25

Problem 66

A poll done for Newsweek found that $13 \%$ of Americans have seen or sensed the presence of an angel. A contingent doubts that the percent is really that high. It conducts its own survey. Out of 76 Americans surveyed, only two had seen or sensed the presence of an angel. As a result of the contingent's survey, would you agree with the Newsweek poll? In complete sentences, also give three reasons why the two polls might give different results.

Meijie Li
Meijie Li
Numerade Educator
02:49

Problem 67

The mean work week for engineers in a start-up company is believed to be about 60 hours. A newly hired engineer hopes that it's shorter. She asks ten engineering friends in start-ups for the lengths of their mean work weeks. Based on the results that follow, should she count on the mean work week to be shorter than 60 hours? Data (length of mean work week): 70; 45; 55; 60; 65; 55; 55; 60; 50; 55.

Robin Corrigan
Robin Corrigan
Numerade Educator
04:36

Problem 68

Sixty-eight percent of online courses taught at community colleges nationwide were taught by full-time faculty. To test if $68 \%$ also represents California's percent for full-time faculty teaching the online classes, Long Beach City College (LBCC) in Califomia, was randomly selected for comparison. In the same year, 34 of the 44 online courses LBCC offered were taught by full-time faculty. Conduct a hypothesis test to determine if $68 \%$ represents California. NOTE: For more accurate results, use more California community colleges and this past year's data.

Lucas Everson
Lucas Everson
Numerade Educator
View

Problem 69

According to an article in Bloomberg Business week, New York City's most recent adult smoking rate is $14 \%$. Suppose that a survey is conducted to determine this year's rate. Nine out of 70 randomly chosen N.Y. City residents reply that they smoke. Conduct a hypothesis test to determine if the rate is still $14 \%$ or if it has decreased.

Rashmi Sinha
Rashmi Sinha
Numerade Educator
04:17

Problem 70

The mean age of De Anza College students in a previous term was 26.6 years old. An instructor thinks the mean age for online students is older than $26.6 .$ She randomly surveys 56 online students and finds that the sample mean is 29.4 with a standard deviation of $2.1 .$ Conduct a hypothesis test.

Lucas Everson
Lucas Everson
Numerade Educator
04:27

Problem 71

Registered nurses earned an average annual salary of $\$ 69,110 .$ For that same year, a survey was conducted of 41 California registered nurses to determine if the annual salary is higher than $\$ 69,110$ for California nurses. The sample average was $\$ 71,121$ with a sample standard deviation of $\$ 7,489$. Conduct a hypothesis test.

Lucas Everson
Lucas Everson
Numerade Educator
View

Problem 72

La Leche League International reports that the mean age of weaning a child from breastfeeding is age four to five worldwide. In America, most nursing mothers wean their children much earlier. Suppose a random survey is conducted of 21 U.S. mothers who recently weaned their children. The mean weaning age was nine months (3/4 year) with a standard deviation of 4 months. Conduct a hypothesis test to determine if the mean weaning age in the U.S. is less than four years old.

MA
Matthew Anderson
Numerade Educator
03:27

Problem 73

Over the past few decades, public health officials have examined the link between weight concerns and teen girls' smoking. Researchers surveyed a group of 273 randomly selected teen girls living in Massachusetts (between 12 and 15 years old). After four years the girls were surveyed again. Sixty-three said they smoked to stay thin. Is there good evidence that more than thirty percent of the teen girls smoke to stay thin? After conducting the test, your decision and conclusion are
a. Reject $H_{0}:$ There is sufficient evidence to conclude that more than $30 \%$ of teen girls smoke to stay thin.
b. Do not reject $H_{0}:$ There is not sufficient evidence to conclude that less than $30 \%$ of teen girls smoke to stay thin.
c. Do not reject $H_{0}:$ There is not sufficient evidence to conclude that more than $30 \%$ of teen girls smoke to stay thin.
d. Reject $H_{0}:$ There is sufficient evidence to conclude that less than $30 \%$ of teen girls smoke to stay thin.

Lucas Everson
Lucas Everson
Numerade Educator
04:04

Problem 74

A statistics instructor believes that fewer than $20 \%$ of Evergreen Valley College (EVC) students attended the opening night midnight showing of the latest Harry Potter movie. She surveys 84 of her students and finds that 11 of them attended the midnight showing. At a $1 \%$ level of significance, an appropriate conclusion is:
a. There is insufficient evidence to conclude that the percent of EVC students who attended the midnight showing
of Harry Potter is less than $20 \%$.
b. There is sufficient evidence to conclude that the percent of EVC students who attended the midnight showing of Harry Potter is more than $20 \%$.
c. There is sufficient evidence to conclude that the percent of EVC students who attended the midnight showing of Harry Potter is less than $20 \%$.
d. There is insufficient evidence to conclude that the percent of EVC students who attended the midnight showing
of Harry Potter is at least $20 \%$

Lucas Everson
Lucas Everson
Numerade Educator
03:22

Problem 75

Previously, an organization reported that teenagers spent 4.5 hours per week, on average, on the phone. The organization thinks that, currently, the mean is higher. Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of $2.0 .$ Conduct a hypothesis test.
At a significance level of $a=0.05,$ what is the correct conclusion?
a. There is enough evidence to conclude that the mean number of hours is more than 4.75
b. There is enough evidence to conclude that the mean number of hours is more than 4.5
c. There is not enough evidence to conclude that the mean number of hours is more than 4.5
d. There is not enough evidence to conclude that the mean number of hours is more than 4.75 Instructions: For the following ten exercises, Hypothesis testing: For the following ten exercises, answer each question.
a. State the null and alternate hypothesis.
b. State the $p$ -value.
c. State alpha.
d. What is your decision?
e. Write a conclusion.
f. Answer any other questions asked in the problem.

Lucas Everson
Lucas Everson
Numerade Educator
01:57

Problem 76

According to the Center for Disease Control website, in 2011 at least $18 \%$ of high school students have smoked a cigarette. An Introduction to Statistics class in Davies County, KY conducted a hypothesis test at the local high school (a medium sized-approximately 1,200 students-small city demographic) to determine if the local high school's percentage was lower. One hundred fifty students were chosen at random and surveyed. Of the 150 students surveyed, 82 have smoked. Use a significance level of 0.05 and using appropriate statistical evidence, conduct a hypothesis test and state the conclusions.

Adriano Chikande
Adriano Chikande
Numerade Educator
01:21

Problem 77

A recent survey in the $N .$ Y. Times Almanac indicated that $48.8 \%$ of families own stock. A broker wanted to determine if this survey could be valid. He surveyed a random sample of 250 families and found that 142 owned some type of stock. At the 0.05 significance level, can the survey be considered to be accurate?

Bryan Luo
Bryan Luo
Numerade Educator
01:30

Problem 78

Driver error can be listed as the cause of approximately $54 \%$ of all fatal auto accidents, according to the American Automobile Association. Thirty randomly selected fatal accidents are examined, and it is determined that 14 were caused by driver error. Using $\alpha=0.05,$ is the AAA proportion accurate?

Alexander Cheng
Alexander Cheng
Numerade Educator
01:58

Problem 79

The US Department of Energy reported that $51.7 \%$ of homes were heated by natural gas. A random sample of 221 homes in Kentucky found that 115 were heated by natural gas. Does the evidence support the claim for Kentucky at the $\alpha=$ 0.05 level in Kentucky? Are the results applicable across the country? Why?

Hossam Mohamed
Hossam Mohamed
Numerade Educator
03:10

Problem 80

For Americans using library services, the American Library Association claims that at most $67 \%$ of patrons borrow books. The library director in Owensboro, Kentucky feels this is not true, so she asked a local college statistic class to conduct a survey. The class randomly selected 100 patrons and found that 82 borrowed books. Did the class demonstrate that the percentage was higher in Owensboro, KY? Use $\alpha=0.01$ level of significance. What is the possible proportion of patrons that do borrow books from the Owensboro Library?

Aman Gupta
Aman Gupta
Numerade Educator
02:20

Problem 81

The Weather Underground reported that the mean amount of summer rainfall for the northeastern US is at least 11.52 inches. Ten cities in the northeast are randomly selected and the mean rainfall amount is calculated to be 7.42 inches with a standard deviation of 1.3 inches. At the $\alpha=0.05$ level, can it be concluded that the mean rainfall was below the reported average? What if $\alpha=0.01 ?$ Assume the amount of summer rainfall follows a normal distribution.

Sheryl Ezze
Sheryl Ezze
Numerade Educator
View

Problem 82

A survey in the $N .$ Y. Times Almanac finds the mean commute time (one way) is 25.4 minutes for the 15 largest US cities. The Austin, TX chamber of commerce feels that Austin's commute time is less and wants to publicize this fact. The mean for 25 randomly selected commuters is 22.1 minutes with a standard deviation of 5.3 minutes. At the $\alpha=0.10$ level, is the Austin, TX commute significantly less than the mean commute time for the 15 largest US cities?

Ana Carolina Da Cruz
Ana Carolina Da Cruz
Numerade Educator
03:08

Problem 83

A report by the Gallup Poll found that a woman visits her doctor, on average, at most 5.8 times each year. A random sample of 20 women results in these yearly visit totals 3; $3 ; 2 ; 1 ; 3 ; 7 ; 2 ; 9 ; 4 ; 6 ; 6 ; 8 ; 0 ; 5 ; 6 ; 4 ; 2 ; 1 ; 3 ; 4 ; 1$
( $)$ is $=3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3 ; 3,4,4,4,4,4,4,3,4,4,3,4,4,4,4,4,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,7,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8$ At the $\alpha=0.05$ level can it be concluded that the sample mean is higher than 5.8 visits per year?

Jon Southam
Jon Southam
Numerade Educator
05:25

Problem 84

According to the $N .$ Y. Times Almanac the mean family size in the U.S. is $3.18 .$ A sample of a college math class resulted in the following family sizes:
$5 ; 4 ; 5 ; 4 ; 4 ; 3 ; 6 ; 4 ; 3 ; 3 ; 5 ; 5 ; 6 ; 3 ; 3 ; 2 ; 7 ; 4 ; 5 ; 2 ; 2 ; 2 ; 3 ; 2$
At $\alpha=0.05$ level, is the class' mean family size greater than the national average? Does the Almanac result remain valid? why?

Jameson Kuper
Jameson Kuper
Numerade Educator
05:17

Problem 85

The student academic group on a college campus claims that freshman students study at least 2.5 hours per day, on average. One Introduction to Statistics class was skeptical. The class took a random sample of 30 freshman students and found a mean study time of 137 minutes with a standard deviation of 45 minutes. At $\alpha=0.01$ level, is the student academic group's claim correct?

Kevin Morgan
Kevin Morgan
Numerade Educator