Exam 12: Introduction to Analysis of Variance
Exam 1: Introduction to Statistics70 Questions
Exam 2: Frequency Distributions70 Questions
Exam 3: Central Tendency70 Questions
Exam 4: Variability70 Questions
Exam 5: Z-Scores40 Questions
Exam 6: Probability69 Questions
Exam 7: The Distribution of Sample Means69 Questions
Exam 8: Introduction to Hypothesis Testing69 Questions
Exam 9: Introduction to the T Statistic68 Questions
Exam 10: The T Test for Two Independent Samples70 Questions
Exam 11: The T Test for Two Related Samples69 Questions
Exam 12: Introduction to Analysis of Variance70 Questions
Exam 13: Repeated-Measures Anova70 Questions
Exam 14: Two-Factor Analysis of Variance70 Questions
Exam 15: Correlation70 Questions
Exam 16: Introduction to Regression70 Questions
Exam 17: Chi-Square Tests70 Questions
Exam 18: The Binomial Test70 Questions
Exam 19: Choosing the Right Statistics4 Questions
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The following table shows the results of an analysis of variance comparing two treatment conditions with a sample of n = 11 participants in each treatment. Note that several values are missing in the table. What is the missing value for the F-ratio?


(Multiple Choice)
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If an analysis of variance produces SSbetween = 20 and SSwithin = 40, then η2 = 0.50.
(True/False)
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For an independent-measures experiment comparing two treatment conditions with a sample of n = 10 in each treatment, which of the following identifies the correct df for the F?ratio?
(Multiple Choice)
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A research report presents the results of an independent-measures ANOVA as follows:
F(3, 28) = 5.36, p < .01.If all the samples were the same size, then each sample had n = 7 participants.
(True/False)
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An analysis of variances produces dfbetween = 3 and dfwithin = 24.If each treatment has the same number of participants, then how many participants are in each treatment?
(Multiple Choice)
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An ANOVA is used to determine whether significant difference exist, and post test are used to determine exactly which treatment means are significantly different.
(True/False)
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For an analysis of variance comparing three treatment means, H0 states that all three population means are the same and H1 states that all three population means are different.
(True/False)
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If an analysis of variance produces a value of F = 0, then all of the samples have exactly the same mean.
(True/False)
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