Exam 10: One-Factor Between-Subjects Analysis of Variance
Exam 1: Making Sense of Variability: an Introduction to Statistics 42 Questions
Exam 2: Statistics in the Context of Scientific Research50 Questions
Exam 3: Looking at Data: Frequency Distributions and Graphs59 Questions
Exam 4: Looking at Data: Measures of Central Tendency55 Questions
Exam 5: Looking at Data: Measures of Variability53 Questions
Exam 6: The Normal Distribution, Probability, and Standard Scores67 Questions
Exam 7: Understanding Data: Using Statistics for Inference and Estimation58 Questions
Exam 8: Is There Really a Difference Introduction to Statistical Hypothesis Testing91 Questions
Exam 9: The Basics of Experimentation and Testing for a Difference Between Means82 Questions
Exam 10: One-Factor Between-Subjects Analysis of Variance99 Questions
Exam 11: Two-Factor Between-Subjects Analysis of Variance92 Questions
Exam 12: One-Factor Within-Subjects Analysis of Variance74 Questions
Exam 13: Correlation: Understanding Covariation76 Questions
Exam 14: Regression Analysis: Predicting Linear Relationships55 Questions
Exam 15: Nonparametric Tests45 Questions
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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 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.

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The term 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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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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