DA0-002 Visualization and Reporting Practice Question
Which TWO visualization types are suitable for showing the distribution of a single continuous variable?
⚠ Common exam trap
CompTIA often tests the distinction between visualization types by presenting a line chart as a distractor, tempting candidates to confuse trend visualization with distribution analysis, especially when the continuous variable is time-based.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Box plot
A box plot (option A) is correct because it summarizes the distribution of a single continuous variable through its median, quartiles, and potential outliers, directly revealing spread and skewness. A histogram (option C) is also correct because it bins a single continuous variable into intervals and displays the frequency of values in each bin, clearly showing the distribution's shape. A line chart (option B) is not appropriate here since it is designed to show trends or changes over an ordered sequence, typically time. A scatter plot (option D) is used to visualize the relationship between two continuous variables, not the distribution of one. A pie chart (option E) shows proportions of a whole for categorical data, not the distribution of a continuous variable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Box plot
Why this is correct
A box plot summarises a continuous variable through quartiles, median, and whiskers, exposing spread, skew, and outliers. It satisfies the distribution requirement by displaying the shape of a single continuous variable's values across its range.
- ✗
Line chart
Why it's wrong here
A line chart displays a continuous variable against a sequential axis such as time, showing trend rather than the frequency distribution of one variable's values. It is tempting because it handles continuous data, but it would be correct for time-series trends, not distribution shape.
- ✓
Histogram
Why this is correct
A histogram bins a continuous variable's values into intervals and plots frequency per bin, directly revealing the distribution's shape, centre, and spread. This satisfies the requirement to show how one continuous variable's observations are distributed.
- ✗
Scatter plot
Why it's wrong here
A scatter plot displays the relationship between two continuous variables as paired points, so it shows joint correlation rather than the distribution of a single variable. It is tempting because it handles continuous data, but it would be correct for bivariate relationships.
- ✗
Pie chart
Why it's wrong here
A pie chart represents parts of a whole as proportions of a categorical total, so it cannot show the frequency distribution of a single continuous variable. It is tempting for its familiarity, but it would be correct for showing category composition, not distribution.
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