Exam 14: Two-Factor Analysis of Variance Independent Measures

For a two-factor study with two levels of factor A,two levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the value of SS_{between treatments}?

(Multiple Choice)

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Question 41

The results from a two-factor experiment can be presented in a matrix with the levels of one factor forming the rows and the levels of the second factor forming the columns,with a separate sample in each of the matrix cells.Using this matrix structure,describe what is meant by the "main effect" for each factor and the "interaction" between factors.

(Essay)

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Question 42

A two-factor,independent-measures research study with two levels of factor A and three levels of factor B with n = 10 participants in each treatment condition would require a total of 60 participants.

(True/False)

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Question 43

In a two-factor ANOVA,what is the implication of a significant AxB interaction?

(Multiple Choice)

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Question 44

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,what is df_{within treatments}?

(Multiple Choice)

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Question 45

In a line graph showing the results from a two-factor experiment,the levels of factor B are presented on the X-axis and separate lines are used to display the means for A1 and A2.If the points on the line for A1 are consistently five points higher than the corresponding point on the line for A2,what pattern of results is indicated?

(Multiple Choice)

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Question 46

A two-factor study compares three different treatment conditions (factor 1)for males and females (factor 2).In this study,the main effect for gender is determined by the overall mean score for the males (averaged over the three treatments)and the corresponding overall mean score for the females.

(True/False)

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Question 47

If the F-ratios for factor A has df = 1,36 and the F-ratio for the interaction has df = 2,36,then the F-ratio for factor B will also have df = 2,36.

(True/False)

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Question 48

It often is possible to reduce the variance in an independent-measures design by using a participant variable such as age or gender as a second factor.

(True/False)

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Question 49

If the results of a two-factor ANOVA show no main effect for factor A and no significant interaction,then it is safe to conclude that factor A has no effect on the participants' scores.

(True/False)

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Question 50

If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction,then the results indicate that factor A has no effect on the subjects' scores.

(True/False)

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Question 51

In a two-factor experiment with two levels of factor A and two levels of factor B,three of the treatment means are essentially identical and one is substantially different from the others.What result(s)would be produced by this pattern of treatment means?

(Multiple Choice)

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Question 52

For an independent-measures two-factor experiment,the bigger the values for the sample variances,the more likely it is that at least one of the F-ratios will be significant.

(True/False)

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Question 53

The results of a two-factor analysis of variance produce df = 1,30 for the F-ratio for factor A,and df = 2,30 for the F-ratio for the A x B interaction.Based on this information,how many levels of factor B were compared in the study?

(Multiple Choice)

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Question 54

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the SS value for factor A (SS_A)?

(Multiple Choice)

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Question 55

If the F-ratios for factor A and factor B both have df = 1,36,then the F-ratio for the interaction will also have df = 1,36.

(True/False)

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Question 56

For an independent-measures two-factor experiment,the bigger the differences between the sample means,the more likely it is that at least one of the F-ratios will be significant.

(True/False)

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Question 57

In a two-factor analysis of variance a main effect is defined as the ____.

(Multiple Choice)

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Question 58

The following data represent the means for each treatment condition in a two factor experiment.Note that one mean is not given.What value for the missing mean would result in no AxB interaction?

(Multiple Choice)

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Question 59

If the F-ratio for factor A has df = 1,40 and the F-ratio for factor B has df = 3,40,then the F-ratio for the interaction must have df = 2,40.

(True/False)

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Question 60

Showing 41 - 60 of 75

For a two-factor study with two levels of factor A,two levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the value of SS_{between treatments}?

A two-factor,independent-measures research study with two levels of factor A and three levels of factor B with n = 10 participants in each treatment condition would require a total of 60 participants.

In a two-factor ANOVA,what is the implication of a significant AxB interaction?

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,what is df_{within treatments}?

A two-factor study compares three different treatment conditions (factor 1)for males and females (factor 2).In this study,the main effect for gender is determined by the overall mean score for the males (averaged over the three treatments)and the corresponding overall mean score for the females.

If the F-ratios for factor A has df = 1,36 and the F-ratio for the interaction has df = 2,36,then the F-ratio for factor B will also have df = 2,36.

It often is possible to reduce the variance in an independent-measures design by using a participant variable such as age or gender as a second factor.

If the results of a two-factor ANOVA show no main effect for factor A and no significant interaction,then it is safe to conclude that factor A has no effect on the participants' scores.

If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction,then the results indicate that factor A has no effect on the subjects' scores.

In a two-factor experiment with two levels of factor A and two levels of factor B,three of the treatment means are essentially identical and one is substantially different from the others.What result(s)would be produced by this pattern of treatment means?

For an independent-measures two-factor experiment,the bigger the values for the sample variances,the more likely it is that at least one of the F-ratios will be significant.

The results of a two-factor analysis of variance produce df = 1,30 for the F-ratio for factor A,and df = 2,30 for the F-ratio for the A x B interaction.Based on this information,how many levels of factor B were compared in the study?

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the SS value for factor A (SS_A)?

If the F-ratios for factor A and factor B both have df = 1,36,then the F-ratio for the interaction will also have df = 1,36.

For an independent-measures two-factor experiment,the bigger the differences between the sample means,the more likely it is that at least one of the F-ratios will be significant.

In a two-factor analysis of variance a main effect is defined as the ____.

The following data represent the means for each treatment condition in a two factor experiment.Note that one mean is not given.What value for the missing mean would result in no AxB interaction?

If the F-ratio for factor A has df = 1,40 and the F-ratio for factor B has df = 3,40,then the F-ratio for the interaction must have df = 2,40.

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

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Correlation

Introduction to Regression

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

The Binomial Test

Filters

Exam 14: Two-Factor Analysis of Variance Independent Measures

​For a two-factor study with two levels of factor A,two levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the value of SSbetween treatments?

A two-factor,independent-measures research study with two levels of factor A and three levels of factor B with n = 10 participants in each treatment condition would require a total of 60 participants.

In a two-factor ANOVA,what is the implication of a significant AxB interaction?​

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,what is dfwithin treatments?​

A two-factor study compares three different treatment conditions (factor 1)for males and females (factor 2).In this study,the main effect for gender is determined by the overall mean score for the males (averaged over the three treatments)and the corresponding overall mean score for the females.

If the F-ratios for factor A has df = 1,36 and the F-ratio for the interaction has df = 2,36,then the F-ratio for factor B will also have df = 2,36.

It often is possible to reduce the variance in an independent-measures design by using a participant variable such as age or gender as a second factor.

If the results of a two-factor ANOVA show no main effect for factor A and no significant interaction,then it is safe to conclude that factor A has no effect on the participants' scores.

If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction,then the results indicate that factor A has no effect on the subjects' scores.

In a two-factor experiment with two levels of factor A and two levels of factor B,three of the treatment means are essentially identical and one is substantially different from the others.What result(s)would be produced by this pattern of treatment means?​

For an independent-measures two-factor experiment,the bigger the values for the sample variances,the more likely it is that at least one of the F-ratios will be significant.​

The results of a two-factor analysis of variance produce df = 1,30 for the F-ratio for factor A,and df = 2,30 for the F-ratio for the A x B interaction.Based on this information,how many levels of factor B were compared in the study?​

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the SS value for factor A (SSA)?​

If the F-ratios for factor A and factor B both have df = 1,36,then the F-ratio for the interaction will also have df = 1,36.

For an independent-measures two-factor experiment,the bigger the differences between the sample means,the more likely it is that at least one of the F-ratios will be significant.

In a two-factor analysis of variance a main effect is defined as the ____.​

The following data represent the means for each treatment condition in a two factor experiment.Note that one mean is not given.What value for the missing mean would result in no AxB interaction?

If the F-ratio for factor A has df = 1,40 and the F-ratio for factor B has df = 3,40,then the F-ratio for the interaction must have df = 2,40.​

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

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Correlation

Introduction to Regression

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

The Binomial Test

Filters

For a two-factor study with two levels of factor A,two levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the value of SS_{between treatments}?

In a two-factor ANOVA,what is the implication of a significant AxB interaction?

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,what is df_{within treatments}?

In a two-factor experiment with two levels of factor A and two levels of factor B,three of the treatment means are essentially identical and one is substantially different from the others.What result(s)would be produced by this pattern of treatment means?

For an independent-measures two-factor experiment,the bigger the values for the sample variances,the more likely it is that at least one of the F-ratios will be significant.

The results of a two-factor analysis of variance produce df = 1,30 for the F-ratio for factor A,and df = 2,30 for the F-ratio for the A x B interaction.Based on this information,how many levels of factor B were compared in the study?

For a two-factor study with two levels of factor A,2 levels of factor B,and a separate sample of n = 10 participants in each treatment condition,the two means for level A1 are 4 and 1,and the two means for level A2 are 3 and 2.For these data,what is the SS value for factor A (SS_A)?

In a two-factor analysis of variance a main effect is defined as the ____.

If the F-ratio for factor A has df = 1,40 and the F-ratio for factor B has df = 3,40,then the F-ratio for the interaction must have df = 2,40.