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

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If Fobs falls into the rejection region for a one-factor between-subjects analysis of variance, then the.

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In a one-factor between-subjects design in which 30 participants are randomly assigned to one of three groups, there is (are) dfTotal.

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If H0 is true, then what is the most probable value for F?

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If the independent variable has an effect in a one-factor between-subjects analysis of variance, then MSA.

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The term represents the total variation in the partitioned score of a subject in a one-factor between-subjects analysis of variance. The term represents the total variation in the partitioned score of a subject in a one-factor between-subjects analysis of variance.

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

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In a one-factor between-subjects design in which 10 participants are randomly assigned to one of two groups, there is (are) df for MSError .

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If SSTotal = 100.00, SSA = 40.00, SSError = 60.00, dfTotal = 34, dfA = 4, and dfError = 30 in a one-factor between-subjects analysis of variance, then MSA =.

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Suppose an experiment had a total of 45 participants who were randomly assigned to one of three groups with 15 participants in each group. The df for the SSError would equal .

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Multiple comparison procedures are designed to find which differ significantly from each other in a one-factor multilevel design.

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The dfTotal for a one-factor between-subjects analysis of variance is equal to dfA dfError.

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In which of the following instances is a post hoc test needed?

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Which of the following is one of the assumptions on which the theoretical sampling distribution of F is based?

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Post hoc comparisons are.

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If the results of an experiment using a one-factor between-subjects analysis of variance were summarized as F(3, 32) = 4.06, p < .05, then you would know that the number of levels of factor A was .

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The total variation of a subject's score in a one-factor between-subjects analysis of variance can be separated into the.

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If an experimenter formed three equivalent groups in an experiment, then he or she could make possible pairwise comparisons of means.

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The probability of making at least one Type I error when performing multiple comparisons is called the rate in an experiment.

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Assume that an experiment used a one-factor between-subjects design with four groups and that each group consisted of eight subjects. What would be the value of N?

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If the independent variable has no effect, then MSA should be MSError, and the resulting F statistic should be in a one-factor between-subjects analysis of variance.

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