Exam 16: One-Way Analysis of Variance
Exam 1: Introduction61 Questions
Exam 2: Basic Concepts58 Questions
Exam 3: Displaying Data57 Questions
Exam 4: Measures of Central Tendency55 Questions
Exam 5: Measures of Variability62 Questions
Exam 6: The Normal Distribution59 Questions
Exam 7: Basic Concepts of Probability61 Questions
Exam 8: Sampling Distributions and Hypothesis Testing69 Questions
Exam 9: Correlation71 Questions
Exam 10: Regression66 Questions
Exam 11: Multiple Regression58 Questions
Exam 12: Hypothesis Tests Applied to Means: One Sample67 Questions
Exam 13: Hypothesis Tests Applied to Means: Two Related Samples59 Questions
Exam 14: Hypothesis Tests Applied to Means: Two Independent Samples63 Questions
Exam 15: Power70 Questions
Exam 16: One-Way Analysis of Variance85 Questions
Exam 17: Factorial Analysis of Variance74 Questions
Exam 18: Repeated-Measures Analysis of Variance62 Questions
Exam 19: Chi-Square56 Questions
Exam 20: Nonparametric and Resampling Statistical Tests45 Questions
Exam 21: Meta-Analysis57 Questions
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An important assumption in the one-way analysis of variance is that
(Multiple Choice)
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Unequal sample sizes in a one-way analysis of variance are generally
(Multiple Choice)
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The larger the ratio of
the more likely that the group means differ significantly one another significantly.

(True/False)
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In the analysis of variance, MSGroups measures how different group means are, and MSerror measures variability within each group. If the null hypothesis were false, what would we expect to find?
(Multiple Choice)
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The following analysis of variance summary table applies to the next several questions.
How many groups were there in this experiment?

(Multiple Choice)
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Given the following information, what are the degrees of freedom for the numerator and the denominator.
a. k = 5, N = 400
b. k = 3, N = 75
c. k = 4, N = 98
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The magnitude of effect in a study was calculated to yield values for both η2 and ω2. Which of the following relationships between η2 and ω2 is likely?
(Multiple Choice)
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The analysis of variance differs from a t test for two independent samples because
(Multiple Choice)
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In the Eysenck study of recall of lists of words, a significant F in the analysis of variance would at the least tell us that
(Multiple Choice)
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When we use the phrase "omnibus null hypothesis" we are referring to
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The column of mean squares in the analysis of variance is obtained by
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When analyzing results of an ANOVA we are most interested in the _______.
(Multiple Choice)
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If we run six independent comparisons among means, each at the five percent level, the overall familywise error rate will be approximately
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In the analysis of variance, the more the null hypothesis is false,
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Cohen's
is generally a better measure than η 2 or w 2 because

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