For ANOVA to be statistically significant, the between-groups variance must be greater than the within-groups variance.
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Q22: In tests of difference, any difference found
Q23: If the test of difference is significant,
Q24: A chi-square can indicate if significant differences
Q25: Chi-squares are limited to testing differences between
Q26: The t-statistic is found by simply computing
Q28: Researchers use ANOVA when they are interested
Q29: In interpreting an ANOVA, the main effects
Q30: Explain the difference between random selection of
Q31: Describe the principles of probability, normal distribution,
Q32: Both t-test and χ² compute a statistic
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