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.