Step 1: Purpose of a frequency distribution.
It tabulates counts (or percentages) across categories/bins, letting us visualize the shape (modality, skewness, spread) of a single variable.
Step 2: Eliminate distractors.
(a) relates to hypothesis testing, not simply a frequency table.
(b)–(c) require bivariate tools (scatterplots/correlation/cross-tabs), not a univariate frequency distribution.
\[
\boxed{(d)}
\]