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Question: What's wrong? For each of the following, explain what is wrong and why.
(a) You should reject the null hypothesis that there is no interaction in a two-way ANOVA when the AB F statistic is small.
(b) Sums of squares are equal to mean squares divided by degrees of freedom.
(c) The test statistics for the main effects in a two-way ANOVA have a chi-square distribution when the null hypothesis is true.
(d) The sums of squares always add in two-way ANOVA.
Which of the following is true about a 95% confidence interval of the mean of a given sample:
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