Exam 10: One-Factor Between-Subjects Analysis of Variance

The deviation represented by $X - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

(Multiple Choice)

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Question 81

In a one-factor between-subjects analysis of variance, the F statistic is defined as.

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Question 82

The dfTotal in a one-factor between-subjects analysis of variance is equal to.

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Question 83

Post hoc comparisons for a one-factor between-subjects analysis of variance may be made using the.

(Multiple Choice)

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Question 84

Eta squared represents the proportion of total variation in scores accounted for by.

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Question 85

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of a?

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Question 86

In a one-factor between-subjects analysis of variance, measures the effect of the independent variable as well as sampling error.

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Question 87

In an analysis of variance, a variance is called a(n).

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Question 88

In a one-factor between-subjects analysis of variance, the mean square for error variance is also known as the variance.

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Question 89

If the critical difference for the Tukey test equals 3 for α equal to .05, then a difference between means of 10 and 8 for two groups is ,.

(Multiple Choice)

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Question 90

MSError is a variance responsive to the effect of in a one-factor between-subjects analysis of variance.

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Question 91

The SSTotal in a one-factor between-subjects analysis of variance represents the variation .

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Question 92

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

(Multiple Choice)

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Question 93

A mean square is a ratio of a to a.

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Question 94

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

(Multiple Choice)

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Question 95

If SSTotal is 100, SSA is 20 and SSError is 80 for a one-factor between-subjects analysis of variance, then η2 is.

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Question 96

The term $\bar { X } _ { A } - \bar { X } _ { G }$ is involved in the computation of SS in a one-factor between-subjects analysis of variance.

(Multiple Choice)

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Question 97

The variation within groups in a one-factor between-subjects analysis of variance is reflected in.

(Multiple Choice)

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Question 98

The deviation represented by $\bar { X } _ { A } - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

(Multiple Choice)

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Question 99

Showing 81 - 99 of 99

The deviation represented by $X - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

In a one-factor between-subjects analysis of variance, the F statistic is defined as.

The dfTotal in a one-factor between-subjects analysis of variance is equal to.

Post hoc comparisons for a one-factor between-subjects analysis of variance may be made using the.

Eta squared represents the proportion of total variation in scores accounted for by.

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of a?

In a one-factor between-subjects analysis of variance, measures the effect of the independent variable as well as sampling error.

In an analysis of variance, a variance is called a(n).

In a one-factor between-subjects analysis of variance, the mean square for error variance is also known as the variance.

If the critical difference for the Tukey test equals 3 for α equal to .05, then a difference between means of 10 and 8 for two groups is ,.

MSError is a variance responsive to the effect of in a one-factor between-subjects analysis of variance.

The SSTotal in a one-factor between-subjects analysis of variance represents the variation .

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

A mean square is a ratio of a to a.

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

If SSTotal is 100, SSA is 20 and SSError is 80 for a one-factor between-subjects analysis of variance, then η2 is.

The term $\bar { X } _ { A } - \bar { X } _ { G }$ is involved in the computation of SS in a one-factor between-subjects analysis of variance.

The variation within groups in a one-factor between-subjects analysis of variance is reflected in.

The deviation represented by $\bar { X } _ { A } - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 10: One-Factor Between-Subjects Analysis of Variance

The deviation represented by X−XˉGX - \bar { X } _ { G }X−XˉG​ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

In a one-factor between-subjects analysis of variance, the F statistic is defined as.

The dfTotal in a one-factor between-subjects analysis of variance is equal to.

Post hoc comparisons for a one-factor between-subjects analysis of variance may be made using the.

Eta squared represents the proportion of total variation in scores accounted for by.

Thirty-six subjects were used in a one-factor between-subjects experiment with three levels of an independent variable. If the group sizes were equal, what is the value of a?

In a one-factor between-subjects analysis of variance, measures the effect of the independent variable as well as sampling error.

In an analysis of variance, a variance is called a(n).

In a one-factor between-subjects analysis of variance, the mean square for error variance is also known as the variance.

If the critical difference for the Tukey test equals 3 for α equal to .05, then a difference between means of 10 and 8 for two groups is ,.

MSError is a variance responsive to the effect of in a one-factor between-subjects analysis of variance.

The SSTotal in a one-factor between-subjects analysis of variance represents the variation .

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

A mean square is a ratio of a to a.

If Fobs does not fall into the rejection region for a one-factor between-subjects analysis of variance, then the.

If SSTotal is 100, SSA is 20 and SSError is 80 for a one-factor between-subjects analysis of variance, then η2 is.

The term XˉA−XˉG\bar { X } _ { A } - \bar { X } _ { G }XˉA​−XˉG​ is involved in the computation of SS in a one-factor between-subjects analysis of variance.

The variation within groups in a one-factor between-subjects analysis of variance is reflected in.

The deviation represented by XˉA−XˉG\bar { X } _ { A } - \bar { X } _ { G }XˉA​−XˉG​ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

The deviation represented by $X - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

The term $\bar { X } _ { A } - \bar { X } _ { G }$ is involved in the computation of SS in a one-factor between-subjects analysis of variance.

The deviation represented by $\bar { X } _ { A } - \bar { X } _ { G }$ reflects the in the partitioned score of a subject in a one-factor between-subjects analysis of variance.