Question 1

Write a research hypothesis and its companion null hypothesis that could be tested with a paired-samples t test.

Accepted Answer

Answers will vary: Research hypothesis-nine-year-olds, on average, are more aware of race than they were as eight-year-olds. Null hypothesis-nine-year-olds, on average, are no more aware of race than they were as eight-year-olds.]

Question 2

Which of the following correctly describes a Type I error?

Accepted Answer

A)  not rejecting a null hypothesis that is false 
B)  not rejecting a null hypothesis that is true 
C)  rejecting a null hypothesis that is false 
D)  rejecting a null hypothesis that is true 
A)  not rejecting a null hypothesis that is false 
B)  not rejecting a null hypothesis that is true 
C)  rejecting a null hypothesis that is false 
D)  rejecting a null hypothesis that is true D

Question 3

Answer the questions that follow this SPSS output:

"Your research hypothesis is "In the population, persons' mothers average more years of schooling than do their fathers." (¯EDUCMOM>¯EDUCDAD) 
A) State the null hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the probability of getting the sample results you got if the null hypothesis is true? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)

Accepted Answer

a. In the population, persons' mothers average the same or fewer years of schooling than do their fathers." (¯EDUCMOM>¯EDUCDAD)
b. one-tailed
c. null hypothesis
d. SKIP
e. do not reject null
f. not significant

Question 4

You are testing a one-tailed independent-samples t test hypothesis. The sample results are consistent with the research hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

Accepted Answer

A)  .701 … do not reject 
B)  .698 … do not reject 
C)  .3505 … do not reject 
D)  .349 … do not reject 
A)  .701 … do not reject 
B)  .698 … do not reject 
C)  .3505 … do not reject 
D)  .349 … do not reject

Question 5

Can two frequency distributions substantially overlap if their means are significantly different? Explain.

Accepted Answer

Yes, two frequency distributions can sub

Question 6

You are testing a one-tailed paired-samples t test hypothesis. The sample means were consistent with the research hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

Accepted Answer

A)  .056 … do not reject 
B)  .112 … do not reject 
C)  .112 … reject 
D)  .224 … do not reject 
A)  .056 … do not reject 
B)  .112 … do not reject 
C)  .112 … reject 
D)  .224 … do not reject

Question 7

An author reports the following information about a two-tailed paired-samples t test: t = 5.43, df = 83, p = .001. Which of the following is true?

Accepted Answer

A)  There were 82 valid cases. 
B)  The null hypothesis was rejected 
C)  The two means were not significantly different. 
D)  All of the above are true. 
A)  There were 82 valid cases. 
B)  The null hypothesis was rejected 
C)  The two means were not significantly different. 
D)  All of the above are true.

Question 8

Which of the following hypotheses should be tested using a paired-samples t test?

Accepted Answer

A)  The average posttest score was 78. 
B)  Women had the same average pretest score as men. 
C)  On average, persons' posttest scores were the same as their pretest scores. 
D)  Pretest and posttest scores were not correlated. 
A)  The average posttest score was 78. 
B)  Women had the same average pretest score as men. 
C)  On average, persons' posttest scores were the same as their pretest scores. 
D)  Pretest and posttest scores were not correlated.

Question 9

Does statistical significance indicate substantive importance? Explain.

Accepted Answer

No, statistical significance does not in

Question 10

A researcher has done a paired-samples t-test. She reports the test's degrees of freedom to be 100. How many cases were there in the sample? __________

Accepted Answer

The answer of A researcher has done a paired-samples t-test....

Question 11

Your paired-samples t test research hypothesis is that, on average, persons wish they had fewer children (KIDSBEST) than they actually have (CHILDREN). The following results are consistent with the _____ and you proceed to _____.

Accepted Answer

A)  null hypothesis … Step 3 (check significance level) 
B)  null hypothesis … Step 4 (state conclusion) 
C)  research hypothesis … Step 3 (check significance level) 
D)  research hypothesis … Step 4 (state conclusion) 
A)  null hypothesis … Step 3 (check significance level) 
B)  null hypothesis … Step 4 (state conclusion) 
C)  research hypothesis … Step 3 (check significance level) 
D)  research hypothesis … Step 4 (state conclusion)

Question 12

You are doing a paired-samples t test with 694 valid cases. How many degrees of freedom will the t test have?

Accepted Answer

A)  692 
B)  693 
C)  694 
D)  695 
A)  692 
B)  693 
C)  694 
D)  695

Question 13

Which one of the following is NOT a correct description of the number obtained at Step 3 in hypothesis testing?

Accepted Answer

A)  the probability of making a Type I error if you reject the null hypothesis 
B)  the probability of making a Type II error if you do not reject the null hypothesis 
C)  the probability of getting the sample results you got if the null hypothesis is true 
D)  the significance level 
A)  the probability of making a Type I error if you reject the null hypothesis 
B)  the probability of making a Type II error if you do not reject the null hypothesis 
C)  the probability of getting the sample results you got if the null hypothesis is true 
D)  the significance level

Question 14

For an independent-samples t test, the test variable (the variable whose values will be averaged for each group) can be what level of measurement?

Accepted Answer

A)  only interval/ratio 
B)  either interval/ratio or ordinal 
C)  interval/ratio, ordinal, or nominal 
A)  only interval/ratio 
B)  either interval/ratio or ordinal 
C)  interval/ratio, ordinal, or nominal

Question 15

Answer the questions that follow this SPSS output:

Your research hypothesis is "On average, persons in the population with 16 years of schooling have less general knowledge (GENKNOW) than persons with 20 years of schooling." (¯(〖GENKNOW〗_16 )<¯(〖GENKNOW〗_20 ) ) 
A) State the null hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the significance level? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)

Accepted Answer

a. On average, persons in the population

Question 16

Why are paired samples called that?

Accepted Answer

They are paired samples because you have

Question 17

When does a researcher risk making a Type I error?

Accepted Answer

whenever h

Question 18

Answer the questions that follow this SPSS output: 
 
Your research hypothesis is "In the population, the average number of hours spent using the Internet by full-time workers is greater than by part-time workers." (¯HEALTHSCORE06≤¯HEALTHSCORE05) 
A) State the null hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the significance level? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)

Accepted Answer

a. In the population, the average number

Question 19

Answer the questions that follow this SPSS output:

Your research hypothesis is "In the population, the average number of hours of TV watched is less than the average number of hours spent using the Internet." ((TVHOURS) ̅<(WEBHRS) ̅) 
A) State the null hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the probability of getting the sample results you got if the null hypothesis is true? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)

Accepted Answer

a. In the population, the average number

Question 20

Which of the following hypotheses should be tested using an independent-samples t test?

Accepted Answer

A)  The average posttest score was 78. 
B)  Women had the same average pretest score as men. 
C)  On average, persons' posttest scores were the same as their pretest scores. 
D)  Pretest and posttest scores were not correlated. 
A)  The average posttest score was 78. 
B)  Women had the same average pretest score as men. 
C)  On average, persons' posttest scores were the same as their pretest scores. 
D)  Pretest and posttest scores were not correlated.

Write a research hypothesis and its companion null hypothesis that could be tested with a paired-samples t test.

Which of the following correctly describes a Type I error?

You are testing a one-tailed independent-samples t test hypothesis. The sample results are consistent with the research hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.

Can two frequency distributions substantially overlap if their means are significantly different? Explain.

You are testing a one-tailed paired-samples t test hypothesis. The sample means were consistent with the research hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.

An author reports the following information about a two-tailed paired-samples t test: t = 5.43, df = 83, p = .001. Which of the following is true?

Which of the following hypotheses should be tested using a paired-samples t test?

Does statistical significance indicate substantive importance? Explain.

A researcher has done a paired-samples t-test. She reports the test's degrees of freedom to be 100. How many cases were there in the sample? __________

Your paired-samples t test research hypothesis is that, on average, persons wish they had fewer children (KIDSBEST) than they actually have (CHILDREN). The following results are consistent with the _ and you proceed to _.

You are doing a paired-samples t test with 694 valid cases. How many degrees of freedom will the t test have?

Which one of the following is NOT a correct description of the number obtained at Step 3 in hypothesis testing?

For an independent-samples t test, the test variable (the variable whose values will be averaged for each group) can be what level of measurement?

Why are paired samples called that?

When does a researcher risk making a Type I error?

Which of the following hypotheses should be tested using an independent-samples t test?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

Exam 13: Paired and Independent-Samples T Tests

Write a research hypothesis and its companion null hypothesis that could be tested with a paired-samples t test.

Which of the following correctly describes a Type I error?

You are testing a one-tailed independent-samples t test hypothesis. The sample results are consistent with the research hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

Can two frequency distributions substantially overlap if their means are significantly different? Explain.

You are testing a one-tailed paired-samples t test hypothesis. The sample means were consistent with the research hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

An author reports the following information about a two-tailed paired-samples t test: t = 5.43, df = 83, p = .001. Which of the following is true?

Which of the following hypotheses should be tested using a paired-samples t test?

Does statistical significance indicate substantive importance? Explain.

A researcher has done a paired-samples t-test. She reports the test's degrees of freedom to be 100. How many cases were there in the sample? __________

Your paired-samples t test research hypothesis is that, on average, persons wish they had fewer children (KIDSBEST) than they actually have (CHILDREN). The following results are consistent with the _____ and you proceed to _____.

You are doing a paired-samples t test with 694 valid cases. How many degrees of freedom will the t test have?

Which one of the following is NOT a correct description of the number obtained at Step 3 in hypothesis testing?

For an independent-samples t test, the test variable (the variable whose values will be averaged for each group) can be what level of measurement?

Why are paired samples called that?

When does a researcher risk making a Type I error?

Which of the following hypotheses should be tested using an independent-samples t test?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

You are testing a one-tailed independent-samples t test hypothesis. The sample results are consistent with the research hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.

You are testing a one-tailed paired-samples t test hypothesis. The sample means were consistent with the research hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.

Your paired-samples t test research hypothesis is that, on average, persons wish they had fewer children (KIDSBEST) than they actually have (CHILDREN). The following results are consistent with the _ and you proceed to _.