The validity of the results of a factorial ANOVA is dependent upon three assumptions, one of them being that the distributions of scores on the DV must have equal variances.
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Q18: The two-way ANOVA tests two separate hypotheses
Q19: Any dependent differences produced by either Factor
Q20: The null hypothesis for the main effect
Q21: Interaction between factors occurs when the effect
Q22: The null hypothesis for the tests of
Q24: Eta squared is commonly viewed as the
Q25: Eta squared is viewed as a descriptive
Q26: What level of measurement is required for
Q27: When the value of the F ratio
Q28: In two-way analysis of variance:
A) There are
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