The ANOVA is used to compare the variability between groups to the variability within groups.
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Q28: Single-factor between-groups designs are interpreted differently due
Q29: The numbers of independent pieces of information
Q30: Rejecting the null hypothesis implies that a
Q31: The t test provides more power than
Q32: Data should be at least ordinal level
Q34: The F statistic is the summary statistic
Q35: The F value tells you which groups
Q36: When an F statistic is significant, a
Q37: Post-hoc comparisons are necessary when the overall
Q38: Nonparametric tests are typically not as powerful
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