Question 1

For a repeated-measures design, df = n1 + n2 - 2 for the t statistic.

Accepted Answer

A) True 
 B)False

Question 2

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a mean of M = 18 with SS = 24 for the scores in the first treatment, a mean of M = 14 with SS = 18 for the scores in the second treatment, and a mean of M = 4 with SS = 12 for the difference scores.What is the estimated standard error for the sample mean difference?

Accepted Answer

A) 4 
B) 3 
C) 2 
D) 1 
A) 4 
B) 3 
C) 2 
D) 1

Question 3

In general, as the variance of the difference scores increases, the likelihood of finding a significant difference also increases.

Accepted Answer

A) True 
 B)False

Question 4

The repeated-measures t statistic is used with a matched-subjects design even though the design uses two separate samples.

Accepted Answer

A) True 
 B)False

Question 5

What is indicated by a large variance for a sample of difference scores?

Accepted Answer

A) a consistent treatment effect and a high likelihood of a significant difference 
B) a consistent treatment effect and a low likelihood of a significant difference 
C) an inconsistent treatment effect and a high likelihood of a significant difference 
D) an inconsistent treatment effect and a low likelihood of a significant difference 
A) a consistent treatment effect and a high likelihood of a significant difference 
B) a consistent treatment effect and a low likelihood of a significant difference 
C) an inconsistent treatment effect and a high likelihood of a significant difference 
D) an inconsistent treatment effect and a low likelihood of a significant difference

Question 6

A researcher reports df = 18 for a repeated-measures t statistic.This research study used a total of n = 19 participants.

Accepted Answer

A) True 
 B)False

Question 7

Although the original data for a repeated-measures study consist of two scores for each participant, the calculation of the mean and variance are done with only one score for each participant.

Accepted Answer

A) True 
 B)False

Question 8

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 9

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

Accepted Answer

A) an independent-measures design 
B) a repeated-measures design 
C) a matched-subjects design 
D) all of the other options require only 20 participants 
A) an independent-measures design 
B) a repeated-measures design 
C) a matched-subjects design 
D) all of the other options require only 20 participants

Question 10

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

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

What is the value of the estimated standard error for the following set of D?scores?

Accepted Answer

A) 3 Scores: 2, 2, 10, 2 
B) $\surd$3 
C) 4 
D) 2 
A) 3 Scores: 2, 2, 10, 2 
B) $\surd$3 
C) 4 
D) 2

Question 13

For a repeated-measures study, a small variance for the difference scores indicates that the treatment effect is consistent across participants.

Accepted Answer

A) True 
 B)False

Question 14

What value is estimated with a confidence interval using the repeated-measures t statistic?

Accepted Answer

A) the mean for a sample of difference scores 
B) the mean for a population of difference scores 
C) the difference between two population means 
D) the difference between two sample means 
A) the mean for a sample of difference scores 
B) the mean for a population of difference scores 
C) the difference between two population means 
D) the difference between two sample means

Question 15

A researcher obtains t = 2.35 for a repeated-measures study using a sample of n = 8 participants.Based on this t value, what is the correct decision for a two-tailed test?

Accepted Answer

A) reject the null hypothesis with α = .05 but not with α = .01 
B) reject the null hypothesis with either α = .05 or α = .01 
C) fail to reject the null hypothesis with either α = .05 or α = .01 
D) cannot make a decision without additional information 
A) reject the null hypothesis with α = .05 but not with α = .01 
B) reject the null hypothesis with either α = .05 or α = .01 
C) fail to reject the null hypothesis with either α = .05 or α = .01 
D) cannot make a decision without additional information

Question 16

For the repeated-measures t statistic, df = _____.

Accepted Answer

A) n1 + n2 - 2 
B) (n1 - 1) + (n2 - 1) 
C) n - 1 
D) n1 + n2 - 1 
A) n1 + n2 - 2 
B) (n1 - 1) + (n2 - 1) 
C) n - 1 
D) n1 + n2 - 1

Question 17

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

Accepted Answer

A) True 
 B)False

Question 18

If a set of n = 9 difference scores has a mean of MD = 3.5 and a variance of s2 = 36, then the standard error for the sample mean difference is 4 points.

Accepted Answer

A) True 
 B)False

Question 19

A sample of n = 9 college students is used to evaluate the effectiveness of a new Study Skills Workshop.Each student's grade point average (GPA) is recorded for the semester before the workshop and for the semester after the workshop.The average GPA improved by MD = 0.60 points with s2 = 0.09.The researcher would like to use the sample to estimate how much effect the workshop would have for the entire college population.Which of the following is the 80% confidence interval for these data?

Accepted Answer

A) µD = 0.60 + 0.01(1.397) 
B) µD = 0.60 + 0.09(1.860) 
C) µD = 0.60 + 0.10(1.397) 
D) µD = 0.60 + 0.10(1.860) 
A) µD = 0.60 + 0.01(1.397) 
B) µD = 0.60 + 0.09(1.860) 
C) µD = 0.60 + 0.10(1.397) 
D) µD = 0.60 + 0.10(1.860)

Question 20

The estimated standard error in the denominator of the repeated-measures t statistic measures the average mean difference that is expected for a sample when there is a zero mean difference for the population.

Accepted Answer

A) True 
 B)False

For a repeated-measures design, df = n₁ + n₂ - 2 for the t statistic.

In general, as the variance of the difference scores increases, the likelihood of finding a significant difference also increases.

The repeated-measures t statistic is used with a matched-subjects design even though the design uses two separate samples.

What is indicated by a large variance for a sample of difference scores?

A researcher reports df = 18 for a repeated-measures t statistic.This research study used a total of n = 19 participants.

Although the original data for a repeated-measures study consist of two scores for each participant, the calculation of the mean and variance are done with only one score for each participant.

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?

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

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

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

What is the value of the estimated standard error for the following set of D?scores?

For a repeated-measures study, a small variance for the difference scores indicates that the treatment effect is consistent across participants.

What value is estimated with a confidence interval using the repeated-measures t statistic?

A researcher obtains t = 2.35 for a repeated-measures study using a sample of n = 8 participants.Based on this t value, what is the correct decision for a two-tailed test?

For the repeated-measures t statistic, df = _____.

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

If a set of n = 9 difference scores has a mean of M_D = 3.5 and a variance of s² = 36, then the standard error for the sample mean difference is 4 points.

The estimated standard error in the denominator of the repeated-measures t statistic measures the average mean difference that is expected for a sample when there is a zero mean difference for the population.

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

For a repeated-measures design, df = n1 + n2 - 2 for the t statistic.

In general, as the variance of the difference scores increases, the likelihood of finding a significant difference also increases.

The repeated-measures t statistic is used with a matched-subjects design even though the design uses two separate samples.

What is indicated by a large variance for a sample of difference scores?

A researcher reports df = 18 for a repeated-measures t statistic.This research study used a total of n = 19 participants.

Although the original data for a repeated-measures study consist of two scores for each participant, the calculation of the mean and variance are done with only one score for each participant.

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?

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

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

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

What is the value of the estimated standard error for the following set of D?scores?

For a repeated-measures study, a small variance for the difference scores indicates that the treatment effect is consistent across participants.

What value is estimated with a confidence interval using the repeated-measures t statistic?

A researcher obtains t = 2.35 for a repeated-measures study using a sample of n = 8 participants.Based on this t value, what is the correct decision for a two-tailed test?

For the repeated-measures t statistic, df = _____.

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

If a set of n = 9 difference scores has a mean of MD = 3.5 and a variance of s2 = 36, then the standard error for the sample mean difference is 4 points.

The estimated standard error in the denominator of the repeated-measures t statistic measures the average mean difference that is expected for a sample when there is a zero mean difference for the population.

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 design, df = n₁ + n₂ - 2 for the t statistic.

If a set of n = 9 difference scores has a mean of M_D = 3.5 and a variance of s² = 36, then the standard error for the sample mean difference is 4 points.