Question:

A frequency distribution helps

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Frequency distributions are univariate tools for seeing the data’s shape (skew, modes, tails).
Updated On: Aug 18, 2025
  • 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 is D

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.
\[ \boxed{(d)} \]
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