Question 1

A repeated-measures study and an independent-measures study both produced a t statistic with df = 16.How many individuals participated in each study?

Accepted Answer

A) 18 for repeated-measures and 17 for independent-measures 
B) 18 for repeated-measures and 18 for independent-measures 
C) 17 for repeated-measures and 17 for independent-measures 
D) 17 for repeated-measures and 18 for independent-measures 
A) 18 for repeated-measures and 17 for independent-measures 
B) 18 for repeated-measures and 18 for independent-measures 
C) 17 for repeated-measures and 17 for independent-measures 
D) 17 for repeated-measures and 18 for independent-measures

Question 2

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 19.

Accepted Answer

A) True 
 B)False

Question 3

If other factors are held constant, which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

Accepted Answer

A) n = 15 and SS = 10 for the difference scores 
B) n = 15 and SS = 100 for the difference scores 
C) n = 30 and SS = 10 for the difference scores 
D) n = 30 and SS = 100 for the difference scores 
A) n = 15 and SS = 10 for the difference scores 
B) n = 15 and SS = 100 for the difference scores 
C) n = 30 and SS = 10 for the difference scores 
D) n = 30 and SS = 100 for the difference scores

Question 4

A repeated-measures study and an independent-measures study both produce t statistics with
df = 20.The independent-measures study used more participants.

Accepted Answer

A) True 
 B)False

Question 5

A repeated?measures study using a sample of n = 20 participants would produce a t statistic with df = ____.

Accepted Answer

A) 9 
B) 19 
C) 20 
D) 39 
A) 9 
B) 19 
C) 20 
D) 39

Question 6

If the null hypothesis is true, what value is expected on average for the repeated-measures t statistic?

Accepted Answer

A) 0 
B) 1 
C) 1.96 
D) t > 1.96 
A) 0 
B) 1 
C) 1.96 
D) t > 1.96

Question 7

If a repeated-measures study shows a significant difference between two treatments with α = .01, then you can be sure that _____.

Accepted Answer

A) the value of Cohen's d is large. 
B) the percentage of variance explained (r2) is large 
C) both Cohen's d and r2 are large 
D) A significant effect does not necessarily mean that the effect size will be large. 
A) the value of Cohen's d is large. 
B) the percentage of variance explained (r2) is large 
C) both Cohen's d and r2 are large 
D) A significant effect does not necessarily mean that the effect size will be large.

Question 8

In general, if the variance of the difference scores increases, then what will happen to the value of the t statistic?

Accepted Answer

A) It will increase (move farther toward the tail of the distribution). 
B) It will decrease (move toward 0 at the center of the distribution). 
C) It will stay the same - the t statistic is not affected by the variance of the difference scores. 
D) It may increase or may decrease.There is no consistent relationship between variance and the size of the t statistic. 
A) It will increase (move farther toward the tail of the distribution). 
B) It will decrease (move toward 0 at the center of the distribution). 
C) It will stay the same - the t statistic is not affected by the variance of the difference scores. 
D) It may increase or may decrease.There is no consistent relationship between variance and the size of the t statistic.

Question 9

Which of the following possibilities is a serious concern with a repeated-measures study?

Accepted Answer

A) You will obtain negative values for the difference scores. 
B) The results will be influenced by order effects. 
C) The mean difference is due to individual differences rather than treatment differences. 
D) All of the other options are major concerns. 
A) You will obtain negative values for the difference scores. 
B) The results will be influenced by order effects. 
C) The mean difference is due to individual differences rather than treatment differences. 
D) All of the other options are major concerns.

Question 10

A researcher conducts a repeated-measures study to evaluate a treatment with a sample of n = 16 participants and obtains a t statistic of t = 1.94.The treatment is expected to increase scores and the sample mean shows an increase.Which of the following is the correct decision for a hypothesis test using α = .05.

Accepted Answer

A) Reject the null hypothesis with a one-tailed test but fail to reject with two tails. 
B) Reject the null hypothesis with either a one-tailed or a two-tailed test. 
C) Fail to reject the null hypothesis with either a one-tailed or a two-tailed test. 
D) Fail to reject the null hypothesis with a one-tailed test but reject with two tails. 
A) Reject the null hypothesis with a one-tailed test but fail to reject with two tails. 
B) Reject the null hypothesis with either a one-tailed or a two-tailed test. 
C) Fail to reject the null hypothesis with either a one-tailed or a two-tailed test. 
D) Fail to reject the null hypothesis with a one-tailed test but reject with two tails.

Question 11

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

Accepted Answer

A) 11 for repeated, and 11 for matched 
B) 11 for repeated, and 12 for matched 
C) 11 for repeated, and 22 for matched 
D) 12 for repeated, and 12 for matched 
A) 11 for repeated, and 11 for matched 
B) 11 for repeated, and 12 for matched 
C) 11 for repeated, and 22 for matched 
D) 12 for repeated, and 12 for matched

Question 12

For a repeated-measures study, if other factors are held constant, an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

Accepted Answer

A) True 
 B)False

Question 13

One advantage of a repeated-measures design is that it typically requires fewer participants than an independent-measures design.

Accepted Answer

A) True 
 B)False

Question 14

A researcher reports t(12) = 2.86, p < .05 for a repeated-measures research study.How many individuals participated in the study?

Accepted Answer

A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25 
A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25

Question 15

For which of the following situations would a repeated-measures research design be appropriate?

Accepted Answer

A) comparing mathematical skills for girls versus boys at age 10 
B) comparing pain tolerance with and without acupuncture needles 
C) comparing self-esteem for students who participate in school athletics versus those who do not 
D) comparing verbal solving skills for science majors versus art majors at a college 
A) comparing mathematical skills for girls versus boys at age 10 
B) comparing pain tolerance with and without acupuncture needles 
C) comparing self-esteem for students who participate in school athletics versus those who do not 
D) comparing verbal solving skills for science majors versus art majors at a college

Question 16

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

Question 17

A research report describing the results from a repeated-measures study states: The data show no significant difference between the two treatments, t(10) = 1.65, p > .05.Based on this report, you can conclude that a total of ____ individuals participated in the research study .

Accepted Answer

A) 9 
B) 10 
C) 11 
D) 12 
A) 9 
B) 10 
C) 11 
D) 12

Question 18

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 19

For a repeated-measures study comparing two treatment conditions, a researcher obtains Cohen's d = 0.50 for a sample of n = 4 scores with a variance of s2 = 16.What is the value of the sample mean?

Accepted Answer

A) MD = 2 
B) MD = 4 
C) MD = 8 
D) MD = 16 
A) MD = 2 
B) MD = 4 
C) MD = 8 
D) MD = 16

Question 20

In a repeated-measures experiment, each individual participates in one treatment condition and then moves on to a second treatment condition.One of the major concerns in this type of study is that participation in the first treatment may influence the participant's score in the second treatment.This problem is called ______.

Accepted Answer

A) individual differences 
B) order effects 
C) homogeneity of variance 
D) bi-treatment effect 
A) individual differences 
B) order effects 
C) homogeneity of variance 
D) bi-treatment effect

A repeated-measures study and an independent-measures study both produced a t statistic with df = 16.How many individuals participated in each study?

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 19.

If other factors are held constant, which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

A repeated-measures study and an independent-measures study both produce t statistics with df = 20.The independent-measures study used more participants.

A repeated?measures study using a sample of n = 20 participants would produce a t statistic with df = ____.

If the null hypothesis is true, what value is expected on average for the repeated-measures t statistic?

If a repeated-measures study shows a significant difference between two treatments with α = .01, then you can be sure that _____.

In general, if the variance of the difference scores increases, then what will happen to the value of the t statistic?

Which of the following possibilities is a serious concern with a repeated-measures study?

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

For a repeated-measures study, if other factors are held constant, an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

One advantage of a repeated-measures design is that it typically requires fewer participants than an independent-measures design.

A researcher reports t(12) = 2.86, p < .05 for a repeated-measures research study.How many individuals participated in the study?

For which of the following situations would a repeated-measures research design be appropriate?

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

A research report describing the results from a repeated-measures study states: The data show no significant difference between the two treatments, t(10) = 1.65, p > .05.Based on this report, you can conclude that a total of ____ individuals participated in the research study .

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.

For a repeated-measures study comparing two treatment conditions, a researcher obtains Cohen's d = 0.50 for a sample of n = 4 scores with a variance of s²= 16.What is the value of the sample mean?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 11: The T Test for Two Related Samples

A repeated-measures study and an independent-measures study both produced a t statistic with df = 16.How many individuals participated in each study?

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 19.

If other factors are held constant, which of the following sets of data is most likely to produce a significant value for the repeated-measures t statistic?

A repeated-measures study and an independent-measures study both produce t statistics with df = 20.The independent-measures study used more participants.

A repeated?measures study using a sample of n = 20 participants would produce a t statistic with df = ____.

If the null hypothesis is true, what value is expected on average for the repeated-measures t statistic?

If a repeated-measures study shows a significant difference between two treatments with α = .01, then you can be sure that _____.

In general, if the variance of the difference scores increases, then what will happen to the value of the t statistic?

Which of the following possibilities is a serious concern with a repeated-measures study?

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

For a repeated-measures study, if other factors are held constant, an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

One advantage of a repeated-measures design is that it typically requires fewer participants than an independent-measures design.

A researcher reports t(12) = 2.86, p < .05 for a repeated-measures research study.How many individuals participated in the study?

For which of the following situations would a repeated-measures research design be appropriate?

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

A research report describing the results from a repeated-measures study states: The data show no significant difference between the two treatments, t(10) = 1.65, p > .05.Based on this report, you can conclude that a total of ____ individuals participated in the research study .

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.

For a repeated-measures study comparing two treatment conditions, a researcher obtains Cohen's d = 0.50 for a sample of n = 4 scores with a variance of s2 = 16.What is the value of the sample mean?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

For a repeated-measures study comparing two treatment conditions, a researcher obtains Cohen's d = 0.50 for a sample of n = 4 scores with a variance of s²= 16.What is the value of the sample mean?