A) the probability associated with t . B) the difference between the means before and after treatment. C) the "diagnostic" statistic. D) the difference between the means before and after treatment divided by a standard deviation. A) the probability associated with t . B) the difference between the means before and after treatment. C) the "diagnostic" statistic. D) the difference between the means before and after treatment divided by a standard deviation.

Exam 13: Hypothesis Tests Applied to Means: Two Related Samples

A student hypothesized that test anxiety increases as the time of the test approaches. Calculate t and evaluate the hypothesis given the following data.

(Essay)

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Question 41

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. In the output, the value of .1371 stands for

(Multiple Choice)

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Question 42

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The standard error of the mean would normally be written

(Multiple Choice)

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Question 43

If two sets of measures have the same mean, but different variances, the resulting t will be closest to

(Multiple Choice)

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Question 44

The degrees of freedom in a related samples t-test are N - 2.

(True/False)

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Question 45

The t test for two related measures

(Multiple Choice)

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Question 46

Which of the following are reasons why we might NOT use a repeated measures t ?

(Multiple Choice)

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Question 47

A research article says, "Students scored higher at the post-test than at the pre-test, t (29) = 1.30; p " What would you conclude?

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Question 48

If the effect of the first measurement influences what the subject does on the second measurement, we would name this

(Multiple Choice)

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Question 49

The scores of the same students on a pre-test and a post-test are independent.

(True/False)

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Question 50

In the preceding question on autonomy in children, we would be most likely to use that design, rather than random sampling of children, because

(Multiple Choice)

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Question 51

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. In the formula for t , there are _______ pairs of observations in the study.

(Multiple Choice)

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Question 52

The formula for calculating a related samples t includes the standard deviations of the two variables being compared.

(True/False)

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Question 53

The difference between the values of degrees of freedom for one sample t tests and related means t tests is that

(Multiple Choice)

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Question 54

Answer these questions based on the following SPSS output. a. Are mothers' and fathers' scores correlated? b. What is the mean difference in mothers' and fathers' scores? c. Write a sentence interpreting the results of the t-test.

(Essay)

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Question 55

We are evaluating a method of therapy for extremely underweight adolescent girls. If we weighed our subjects at the beginning and end of therapy, a difference in weight could mean

(Multiple Choice)

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Question 56

Cohen's d refers to

(Multiple Choice)

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Question 57

A psychologist designed a new treatment for depression. He predicted depressive symptoms would be lower post-treatment. The data follow. Calculate the difference for each subject, the mean difference, and the standard deviation of the difference.

(Essay)

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Question 58

Which of the following was NOT an advantage of repeated measures designs discussed in the text?

(Multiple Choice)

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Question 59

Showing 41 - 59 of 59

A student hypothesized that test anxiety increases as the time of the test approaches. Calculate t and evaluate the hypothesis given the following data.

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. In the output, the value of .1371 stands for

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The standard error of the mean would normally be written

If two sets of measures have the same mean, but different variances, the resulting t will be closest to

The degrees of freedom in a related samples t-test are N - 2.

The t test for two related measures

Which of the following are reasons why we might NOT use a repeated measures t ?

A research article says, "Students scored higher at the post-test than at the pre-test, t (29) = 1.30; p " What would you conclude?

If the effect of the first measurement influences what the subject does on the second measurement, we would name this

The scores of the same students on a pre-test and a post-test are independent.

In the preceding question on autonomy in children, we would be most likely to use that design, rather than random sampling of children, because

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. In the formula for t , there are _______ pairs of observations in the study.

The formula for calculating a related samples t includes the standard deviations of the two variables being compared.

The difference between the values of degrees of freedom for one sample t tests and related means t tests is that

Answer these questions based on the following SPSS output. a. Are mothers' and fathers' scores correlated? b. What is the mean difference in mothers' and fathers' scores? c. Write a sentence interpreting the results of the t-test.

We are evaluating a method of therapy for extremely underweight adolescent girls. If we weighed our subjects at the beginning and end of therapy, a difference in weight could mean

Cohen's d refers to

A psychologist designed a new treatment for depression. He predicted depressive symptoms would be lower post-treatment. The data follow. Calculate the difference for each subject, the mean difference, and the standard deviation of the difference.

Which of the following was NOT an advantage of repeated measures designs discussed in the text?

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters