Step 1: Understanding the null hypothesis in ANOVA.
The null hypothesis in ANOVA assumes no difference among the group means; all come from the same population distribution. Step 2: Eliminate incorrect options.
(a) Proportions are equal — refers to categorical data tests like chi-square.
(b) Means are unequal — this is the alternative hypothesis, not the null.
(c) Proportions are unequal — again for categorical variables.
\[
\boxed{(d)}
\]