Question 1

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 2

For a repeated-measures study comparing two treatment conditions,a researcher obtains a sample of n = 9 difference scores with a mean of MD = 4 and a variance of s² = 36.What is the value for the repeated-measures t statistic for these data?

Accepted Answer

A) 4/2 
B) 4/4 
C) 4/6 
D) 4/36 
A) 4/2 
B) 4/4 
C) 4/6 
D) 4/36

Question 3

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

Accepted Answer

A) True 
 B)False

Question 4

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 5

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

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

For a repeated-measures study comparing two treatment conditions,a researcher obtains a sample of n = 9 difference scores with a mean of MD = 4 and a variance of s² = 36.What is the value for the repeated-measures t statistic for these data?

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

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 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?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: 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 and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

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Exam 11: The t Test for Two Related Samples

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

For a repeated-measures study comparing two treatment conditions,a researcher obtains a sample of n = 9 difference scores with a mean of MD = 4 and a variance of s² = 36.What is the value for the repeated-measures t statistic for these data?

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

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 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?

Introduction to Statistics.

Frequency Distributions.

Central Tendency.

Variability.

z-Scores: Location of Scores and Standardized Distributions.

Probability.

Probability and Samples: 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 and Two-Factor Analysis of Variance

Correlation and Regression.

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

Filters