Question 1

The standard error of the difference between two means describes the variation in the difference between two sample means.

Accepted Answer

A) True 
 B)False  True

Question 2

The pooled variance is the weighted average of two sample variances drawn from two populations.

Accepted Answer

A) True 
 B)False  True

Question 3

Progressive Insurance would like to test the hypothesis that a difference exists in the proportion of students in 12th grade who text while driving when compared to the proportion of 11th grade drivers who text. A random sample of 160 12th grade students found that 84 texted while driving. A random sample of 175 11th grade students found that 70 texted while driving. If Population 1 is defined as 12th grade drivers and Population 2 is defined as 11th grade drivers, and using α = 0.05, the critical value for this hypothesis test would be .

Accepted Answer

A) 2.33 
B) 1.645 
C) 1.96 
D) 2.05 
A) 2.33 
B) 1.645 
C) 1.96 
D) 2.05 C

Question 4

The approximate standard error of the difference between population proportions uses the sample proportions to estimate the values of the population proportions when determining the standard deviation.

Accepted Answer

A) True 
 B)False

Question 5

When conducting a hypothesis test comparing two populations with independent samples, each observation from one sample is related to an observation from the other sample.

Accepted Answer

A) True 
 B)False

Question 6

The pooled variance is used to calculate the test statistics for comparing two population means when the population variances are assumed to be unequal.

Accepted Answer

A) True 
 B)False

Question 7

Progressive Insurance would like to test the hypothesis that a difference exists in the proportion of students in 12th grade who text while driving when compared to the proportion of 11th grade drivers who text. A random sample of 160 12th grade students found that 84 texted while driving. A random sample of 175 11th grade students found that 70 texted while driving. If Population 1 is defined as 12th grade drivers and Population 2 is defined as 11th grade drivers, the 95% confidence interval for the difference in population proportions is ______.

Accepted Answer

A) (- 0.119, 0.369) 
B) (0.018, 0.231) 
C) (- 0.037, 0.287) 
D) (0.103, 0.147) 
A) (- 0.119, 0.369) 
B) (0.018, 0.231) 
C) (- 0.037, 0.287) 
D) (0.103, 0.147)

Question 8

The Centers for Disease Control (CDC)would like to test the hypothesis that the proportion of obese adults in the U.S. has increased this year when compared to last year. A random sample of 125 adults this year found that 56 were obese. Last year, a random sample of 140 adults found that 42 were obese. If Population 1 is defined as this year and Population 2 is defined as last year, and using α = 0.01, which one of the following statements is true?

Accepted Answer

A) Because the p- value is greater than α, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
B) Because the p- value is greater than α, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
C) Because the p- value is less than α, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) Because the p- value is less than α, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
A) Because the p- value is greater than α, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
B) Because the p- value is greater than α, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
C) Because the p- value is less than α, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) Because the p- value is less than α, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year.

Question 9

The Centers for Disease Control (CDC)would like to test the hypothesis that the proportion of obese adults in the U.S. has increased this year when compared to last year. A random sample of 125 adults this year found that 56 were obese. Last year, a random sample of 140 adults found that 42 were obese. If Population 1 is defined as this year and Population 2 is defined as last year, the correct hypothesis statement for this hypothesis test would be

Accepted Answer

A) H0: p1 - p2 c 0; H1: p1 - p2 0: p1 - p2 = 0; H1: p1 - p2 × 0. 
C) H0: p1 - p2 1: p1 - p2 c 0. 
D) H0: p1 - p2 c 0; H1: p1 - p2 > 0. 
A) H0: p1 - p2 c 0; H1: p1 - p2 0: p1 - p2 = 0; H1: p1 - p2 × 0. 
C) H0: p1 - p2 1: p1 - p2 c 0. 
D) H0: p1 - p2 c 0; H1: p1 - p2 > 0.

Question 10

The test statistic for hypothesis tests comparing two population proportions follows the Student's
t- distribution.

Accepted Answer

A) True 
 B)False

Question 11

The Centers for Disease Control (CDC)would like to test the hypothesis that the proportion of obese adults in the U.S. has increased this year when compared to last year. A random sample of 125 adults this year found that 56 were obese. Last year, a random sample of 140 adults found that 42 were obese. If Population 1 is defined as this year and Population 2 is defined as last year, and using α = 0.01, the conclusion for this hypothesis test would be that because the test statistic is

Accepted Answer

A) less than the critical value, the CDC cannot conclude that the proportion of obese adults in the 
B) less than the critical value, the CDC can conclude that the proportion of obese adults in the 
C) more than the critical value, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) more than the critical value, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
A) less than the critical value, the CDC cannot conclude that the proportion of obese adults in the 
B) less than the critical value, the CDC can conclude that the proportion of obese adults in the 
C) more than the critical value, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) more than the critical value, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year.

Question 12

The degrees of freedom for the appropriate critical value with a hypothesis test comparing two population means with population variances that are unknown but assumed to be equal are determined by n1 + n2 - 1.

Accepted Answer

A) True 
 B)False

Question 13

The hypothesis statement H0: µ1 - µ2 = 0 is an example of a two- tail hypothesis test.

Accepted Answer

A) True 
 B)False

Question 14

The standard error of the difference between population proportions describes the result of subtracting one sample proportion from a second sample proportion.

Accepted Answer

A) True 
 B)False

Question 15

When conducting a hypothesis test comparing two populations with independent samples, the sample sizes must be equal.

Accepted Answer

A) True 
 B)False

Question 16

Sony would like to test the hypothesis that the average age of a PlayStation user is different from the average age of an Xbox user. A random sample of 36 PlayStation users had an average age of 34.2 years while a random sample of 30 Xbox users had an average age of 32.7 years. Assume that the population standard deviation for the age of PlayStation and Xbox users is 3.9 and 4.0 years, respectively. Sony would like to set α = 0.10. The 95% confidence interval for the difference in population means is ______.

Accepted Answer

A) (-1.70, 4.70) 
B) (1.18, 1.82) 
C) (0.65, 2.35) 
D) (- 0.11, 3.11) 
A) (-1.70, 4.70) 
B) (1.18, 1.82) 
C) (0.65, 2.35) 
D) (- 0.11, 3.11)

Question 17

Sony would like to test the hypothesis that the average age of a PlayStation user is different from the average age of an Xbox user. A random sample of 36 PlayStation users had an average age of 34.2 years while a random sample of 30 Xbox users had an average age of 32.7 years. Assume that the population standard deviation for the age of PlayStation and Xbox users is 3.9 and 4.0 years, respectively. Sony would like to set α = 0.10. The conclusion for this hypothesis test would be that because the absolute value of the test statistic is

Accepted Answer

A) more than the absolute value of the critical value, we can conclude that the average age of PlayStation users is equal to the average age of Xbox users. 
B) more than the absolute value of the critical value, we can conclude that the average age of PlayStation users is different from the average age of Xbox users. 
C) less than the absolute value of the critical value, we cannot conclude that the average age of PlayStation users is equal to the average age of Xbox users. 
D) less than the absolute value of the critical value, we cannot conclude that the average age of PlayStation users is different from the average age of Xbox users. 
A) more than the absolute value of the critical value, we can conclude that the average age of PlayStation users is equal to the average age of Xbox users. 
B) more than the absolute value of the critical value, we can conclude that the average age of PlayStation users is different from the average age of Xbox users. 
C) less than the absolute value of the critical value, we cannot conclude that the average age of PlayStation users is equal to the average age of Xbox users. 
D) less than the absolute value of the critical value, we cannot conclude that the average age of PlayStation users is different from the average age of Xbox users.

Question 18

AT&T would like to test the hypothesis that the proportion of 18- to 34- year- old Americans that own a cell phone is less than the proportion of 35- to 49- year- old Americans. A random sample of 200 18- to 34- year- old Americans found that 126 owned a smartphone. A random sample of 175 35- to 49- year- old Americans found that 119 owned a smartphone. If Population 1 is defined as 18- to 34- year- old Americans and Population 2 is defined as 35- to 49- year- old Americans, the correct hypothesis statement for this hypothesis test would be ______

Accepted Answer

A) H0: p1 - p2 c 0; H1: p1 - p2 > 0 
B) H0: p1 - p2 c 0; H1: p1 - p2 0: p1 - p2 = 0; H1: p1 - p2 × 0 
D) H0: p1 - p2 1: p1 - p2 c 0 
A) H0: p1 - p2 c 0; H1: p1 - p2 > 0 
B) H0: p1 - p2 c 0; H1: p1 - p2 0: p1 - p2 = 0; H1: p1 - p2 × 0 
D) H0: p1 - p2 1: p1 - p2 c 0

Question 19

A hypothesis test using dependent samples is known as a matched- pair test.

Accepted Answer

A) True 
 B)False

Question 20

The Centers for Disease Control (CDC)would like to test the hypothesis that the proportion of obese adults in the U.S. has increased this year when compared to last year. A random sample of 125 adults this year found that 56 were obese. Last year, a random sample of 140 adults found that 42 were obese. If Population 1 is defined as this year and Population 2 is defined as last year, which one of the following statements is true?

Accepted Answer

A) Because the 98% confidence interval includes zero, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
B) Because the 98% confidence interval does not include zero, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
C) Because the 98% confidence interval does not include zero, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) Because the 98% confidence interval includes zero, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
A) Because the 98% confidence interval includes zero, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
B) Because the 98% confidence interval does not include zero, the CDC cannot conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
C) Because the 98% confidence interval does not include zero, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year. 
D) Because the 98% confidence interval includes zero, the CDC can conclude that the proportion of obese adults in the U.S. has increased this year when compared to last year.

The standard error of the difference between two means describes the variation in the difference between two sample means.

The pooled variance is the weighted average of two sample variances drawn from two populations.

The approximate standard error of the difference between population proportions uses the sample proportions to estimate the values of the population proportions when determining the standard deviation.

When conducting a hypothesis test comparing two populations with independent samples, each observation from one sample is related to an observation from the other sample.

The pooled variance is used to calculate the test statistics for comparing two population means when the population variances are assumed to be unequal.

The test statistic for hypothesis tests comparing two population proportions follows the Student's t- distribution.

The degrees of freedom for the appropriate critical value with a hypothesis test comparing two population means with population variances that are unknown but assumed to be equal are determined by n1 + n2 - 1.

The hypothesis statement H0: µ1 - µ2 = 0 is an example of a two- tail hypothesis test.

The standard error of the difference between population proportions describes the result of subtracting one sample proportion from a second sample proportion.

When conducting a hypothesis test comparing two populations with independent samples, the sample sizes must be equal.

A hypothesis test using dependent samples is known as a matched- pair test.

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Exam 10: Fitness

The standard error of the difference between two means describes the variation in the difference between two sample means.

The pooled variance is the weighted average of two sample variances drawn from two populations.

The approximate standard error of the difference between population proportions uses the sample proportions to estimate the values of the population proportions when determining the standard deviation.

When conducting a hypothesis test comparing two populations with independent samples, each observation from one sample is related to an observation from the other sample.

The pooled variance is used to calculate the test statistics for comparing two population means when the population variances are assumed to be unequal.

The test statistic for hypothesis tests comparing two population proportions follows the Student's t- distribution.

The degrees of freedom for the appropriate critical value with a hypothesis test comparing two population means with population variances that are unknown but assumed to be equal are determined by n1 + n2 - 1.

The hypothesis statement H0: µ1 - µ2 = 0 is an example of a two- tail hypothesis test.

The standard error of the difference between population proportions describes the result of subtracting one sample proportion from a second sample proportion.

When conducting a hypothesis test comparing two populations with independent samples, the sample sizes must be equal.

A hypothesis test using dependent samples is known as a matched- pair test.

Healthy Change

Psychosocial Health

Stress

Relationships and Sexuality

Reproductive Choices

Addiction and Drug Abuse

Alcohol and Tobacco

Nutrition

Weight Management and Body Image

Cvd, Cancer, and Diabetes

Infectious Conditions

Violence and Unintentional Injuries

Environmental Health

Consumerism and Complementary and Alternative Medicine

Forecasting Techniques and Analysis for Time Series Data

Filters