Question 1

Which of the following describes the effect of increasing sample size?

Accepted Answer

A) Measures of effect size and the likelihood of rejecting the null hypothesis both increase. 
B) Measure of effect size increase,but the likelihood of rejecting the null hypothesis decreases. 
C) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis increases. 
D) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis decreases. 
A) Measures of effect size and the likelihood of rejecting the null hypothesis both increase. 
B) Measure of effect size increase,but the likelihood of rejecting the null hypothesis decreases. 
C) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis increases. 
D) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis decreases.

Question 2

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

Accepted Answer

A) 11 for matched-subjects and 11 for independent-measures 
B) 11 for matched-subjects and 12 for independent-measures 
C) 12 for matched-subjects and 12 for independent-measures 
D) 22 for matched-subjects and 12 for independent-measures 
A) 11 for matched-subjects and 11 for independent-measures 
B) 11 for matched-subjects and 12 for independent-measures 
C) 12 for matched-subjects and 12 for independent-measures 
D) 22 for matched-subjects and 12 for independent-measures

Question 3

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

Accepted Answer

A) True 
 B)False

Question 4

For a repeated-measures study,as the variance of the difference scores increases,the likelihood of finding a significant difference also increases.

Accepted Answer

A) True 
 B)False

Question 5

One concern for a repeated-measures study is that a participant's score in one treatment may be influenced by practice or experience gained in a previous treatment.

Accepted Answer

A) True 
 B)False

Question 6

If all of the participants in a repeated-measures study show roughly the same 10-point difference between treatments,then the data are likely to produce a significant value for the t statistic.

Accepted Answer

A) True 
 B)False

Question 7

In general,what is the effect of an increase in the variance for the sample of difference scores?

Accepted Answer

A) An increase in the standard error and an increase in the value of t 
B) An increase in the standard error and a decrease in the value of t 
C) A decrease in the standard error and an increase in the value of t 
D) A decrease in the standard error and a decrease in the value of t 
A) An increase in the standard error and an increase in the value of t 
B) An increase in the standard error and a decrease in the value of t 
C) A decrease in the standard error and an increase in the value of t 
D) A decrease in the standard error and a decrease in the value of t

Question 8

Which of the following will not increase the width of a confidence interval?

Accepted Answer

A) Increase the percentage of confidence from 80% to 90% 
B) Reduce the sample size from n = 25 to n = 16 
C) Increase the sample mean from MD = 2 to MD = 4 
D) All of the other options will increase the width of a confidence interval. 
A) Increase the percentage of confidence from 80% to 90% 
B) Reduce the sample size from n = 25 to n = 16 
C) Increase the sample mean from MD = 2 to MD = 4 
D) All of the other options will increase the width of a confidence interval.

Question 9

Which of the following describes the effect of an increase in the variance of the difference scores?

Accepted Answer

A) Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. 
B) Measure of effect size increase,but the likelihood of rejecting the null hypothesis decreases. 
C) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis increases. 
D) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis decreases. 
A) Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. 
B) Measure of effect size increase,but the likelihood of rejecting the null hypothesis decreases. 
C) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis increases. 
D) There is little or no effect on measures of effect size,but the likelihood of rejecting the null hypothesis decreases.

Question 10

For a repeated-measures study,a small variance for the difference scores indicates that the treatment has little or no effect.

Accepted Answer

A) True 
 B)False

Question 11

In the repeated-measures t statistic,the value for the estimated standard error in the denominator is computed entirely from the sample data.

Accepted Answer

A) True 
 B)False

Question 12

A researcher would like to compare two treatment conditions with a set of 30 scores in each treatment.If a repeated-measures design is used,the study will require n = 60 participants.

Accepted Answer

A) True 
 B)False

Question 13

A repeated-measures study with a sample of n = 16 participants produces a repeated-measures t = 2.00.If effect size is measured using r2,then r2 = 4/20.

Accepted Answer

A) True 
 B)False

Question 14

A researcher is using a repeated-measures study to evaluate the difference between two treatments.If the difference between the treatments is consistent from one participant to another,then the data should produce ______.

Accepted Answer

A) a small variance for the difference scores and a small standard error 
B) a small variance for the difference scores and a large standard error 
C) a large variance for the difference scores and a small standard error 
D) a large variance for the difference scores and a large standard error 
A) a small variance for the difference scores and a small standard error 
B) a small variance for the difference scores and a large standard error 
C) a large variance for the difference scores and a small standard error 
D) a large variance for the difference scores and a large standard error

Question 15

In a repeated measures study,the null hypothesis says that the mean for the sample of difference scores is equal to zero.

Accepted Answer

A) True 
 B)False

Question 16

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What would be the value of df for the repeated-measures t statistic?

Accepted Answer

A) df = 18 
B) df = 19 
C) df = 38 
D) df = 39 
A) df = 18 
B) df = 19 
C) df = 38 
D) df = 39

Question 17

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

Accepted Answer

A) True 
 B)False

Question 18

A researcher plans to conduct a research study comparing two treatment conditions with a total of 20 participants.Which of the following designs would produce 20 scores in each treatment?

Accepted Answer

A) An independent-measures design 
B) A repeated-measures design 
C) A matched-subjects design 
D) All of the other options would produce 20 scores in each treatment. 
A) An independent-measures design 
B) A repeated-measures design 
C) A matched-subjects design 
D) All of the other options would produce 20 scores in each treatment.

Question 19

If the sample size is held constant,which of the following will produce the widest 90% confidence interval for the population mean difference for a repeated-measures study?

Accepted Answer

A) MD = 5 with s2 = 5 for the difference scores 
B) MD = 5 with s2 = 10 for the difference scores 
C) MD = 3 with s2 = 10 for the difference scores 
D) MD = 3 with s2 = 20 for the difference scores 
A) MD = 5 with s2 = 5 for the difference scores 
B) MD = 5 with s2 = 10 for the difference scores 
C) MD = 3 with s2 = 10 for the difference scores 
D) MD = 3 with s2 = 20 for the difference scores

Question 20

Which of the following is the correct null hypothesis for a repeated-measures t test?

Accepted Answer

A) MD = 0 
B) µD = 0 
C) µ1 = µ2 
D) M1 = M2 
A) MD = 0 
B) µD = 0 
C) µ1 = µ2 
D) M1 = M2

Which of the following describes the effect of increasing sample size?

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

For a repeated-measures study,as the variance of the difference scores increases,the likelihood of finding a significant difference also increases.

One concern for a repeated-measures study is that a participant's score in one treatment may be influenced by practice or experience gained in a previous treatment.

If all of the participants in a repeated-measures study show roughly the same 10-point difference between treatments,then the data are likely to produce a significant value for the t statistic.

In general,what is the effect of an increase in the variance for the sample of difference scores?

Which of the following will not increase the width of a confidence interval?

Which of the following describes the effect of an increase in the variance of the difference scores?

For a repeated-measures study,a small variance for the difference scores indicates that the treatment has little or no effect.

In the repeated-measures t statistic,the value for the estimated standard error in the denominator is computed entirely from the sample data.

A researcher would like to compare two treatment conditions with a set of 30 scores in each treatment.If a repeated-measures design is used,the study will require n = 60 participants.

A repeated-measures study with a sample of n = 16 participants produces a repeated-measures t = 2.00.If effect size is measured using r²,then r² = 4/20.

A researcher is using a repeated-measures study to evaluate the difference between two treatments.If the difference between the treatments is consistent from one participant to another,then the data should produce ______.

In a repeated measures study,the null hypothesis says that the mean for the sample of difference scores is equal to zero.

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What would be the value of df for the repeated-measures t statistic?

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

A researcher plans to conduct a research study comparing two treatment conditions with a total of 20 participants.Which of the following designs would produce 20 scores in each treatment?

If the sample size is held constant,which of the following will produce the widest 90% confidence interval for the population mean difference for a repeated-measures study?

Which of the following is the correct null hypothesis for a repeated-measures t test?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

Exam 11: The T Test for Two Related Samples

Which of the following describes the effect of increasing sample size?

A matched-subjects study and an independent-measures study both produced a t statistic with df = 10.How many individuals participated in each study?

For a repeated-measures design,the sample mean difference is always located exactly in the center of the confidence interval estimate for the population mean difference.

For a repeated-measures study,as the variance of the difference scores increases,the likelihood of finding a significant difference also increases.

One concern for a repeated-measures study is that a participant's score in one treatment may be influenced by practice or experience gained in a previous treatment.

If all of the participants in a repeated-measures study show roughly the same 10-point difference between treatments,then the data are likely to produce a significant value for the t statistic.

In general,what is the effect of an increase in the variance for the sample of difference scores?

Which of the following will not increase the width of a confidence interval?

Which of the following describes the effect of an increase in the variance of the difference scores?

For a repeated-measures study,a small variance for the difference scores indicates that the treatment has little or no effect.

In the repeated-measures t statistic,the value for the estimated standard error in the denominator is computed entirely from the sample data.

A researcher would like to compare two treatment conditions with a set of 30 scores in each treatment.If a repeated-measures design is used,the study will require n = 60 participants.

A repeated-measures study with a sample of n = 16 participants produces a repeated-measures t = 2.00.If effect size is measured using r2,then r2 = 4/20.

A researcher is using a repeated-measures study to evaluate the difference between two treatments.If the difference between the treatments is consistent from one participant to another,then the data should produce ______.

In a repeated measures study,the null hypothesis says that the mean for the sample of difference scores is equal to zero.

A researcher uses a repeated-measures study to compare two treatment conditions with a set of 20 scores in each treatment.What would be the value of df for the repeated-measures t statistic?

A repeated-measures research study uses a total of 20 participants to compare two treatment conditions.If the results are used to construct a 90% confidence interval for the population mean difference,then the t values will be ±1.729.

A researcher plans to conduct a research study comparing two treatment conditions with a total of 20 participants.Which of the following designs would produce 20 scores in each treatment?

If the sample size is held constant,which of the following will produce the widest 90% confidence interval for the population mean difference for a repeated-measures study?

Which of the following is the correct null hypothesis for a repeated-measures t test?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

A repeated-measures study with a sample of n = 16 participants produces a repeated-measures t = 2.00.If effect size is measured using r²,then r² = 4/20.