Exam 14: Factorial Analysis of Variance
Exam 2: Organizing Data Using Tables and Graphs59 Questions
Exam 3: Measures of Central Tendency58 Questions
Exam 4: Measures of Variability49 Questions
Exam 5: Z-Scores and Other Standard Scores51 Questions
Exam 6: Probability and the Normal Distribution58 Questions
Exam 7: Sampling Distribution of Means50 Questions
Exam 8: Hypothesis Testing54 Questions
Exam 9: One-Sample T-Test50 Questions
Exam 10: Two-Sample T-Test: Independent Samples Design50 Questions
Exam 11: Two-Sample T-Test: Related Samples Design52 Questions
Exam 12: Confidence Interval Versus Point Estimation45 Questions
Exam 13: One-Way Analysis of Variance57 Questions
Exam 14: Factorial Analysis of Variance52 Questions
Exam 15: Correlation and Regression54 Questions
Exam 16: Chi-Square41 Questions
Exam 1: Introduction to Statistics62 Questions
Exam 17: Nonparametric Statistics for Ordinal Data58 Questions
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The alternative hypothesis for Factor A of a two-way ANOVA is that
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The null hypothesis for Factor A of a two-way ANOVA is that
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Define the following terms:
• factor
• main effect
• interaction effects
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When interpreting a significant main effect in a factorial ANOVA
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In a factorial ANOVA with dfbet(A) = 2, dfbet(B) = 4, dfwi = 30, k = _______ and Ntot = ________.
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In a factorial ANOVA, the effects created by the different levels of an independent variable are referred to as
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In the line graph of a two-way ANOVA, lines that have data points that are equidistant apart suggest
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How many total participants would be involved in a 3 x 3 ANOVA if each group is made up of four participants?
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How many independent variables are involved in a 4 x 3 x 2 study?
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Which is the correct notation for a factorial ANOVA with two independent variables, each presented at three levels?
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