determine how close a sample comes to the null hypothesis
us to understand how one variable, $X$, relates to another variable, $Y$
determine if a systematic association exists between two variables
determine the shape of the empirical distribution of the variable
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The Correct Option isD
Solution and Explanation
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.
\[
\boxed{(d)}
\]