UW Stout's Freshman Survey of first‑time, full‑time freshmen who entered college in 2022 reports the following data on the sources students use to pay for college expenses:

Which statement best fits the use of a pie chart for this data?

Question

UW Stout's Freshman Survey of first‑time, full‑time freshmen who entered college in 2022 reports the following data on the sources students use to pay for college expenses:

Which statement best fits the use of a pie chart for this data?

BlackTom AI · Accepted Answer

We begin by restating the scenario: the data describes sources students use to pay for college expenses, and we’re asked which statement best fits the use of a pie chart for this data.

Option A: 'A pie chart works for this data because it is quantitative data.' Pie charts are typically used for categorical data that represent parts of a whole, not raw quantitative measures like counts or amounts alone. This statement mischaracterizes the nature of the data and the appropriate chart type, making it misleading.

Option B: 'A pie chart does not work for this data because students have more than one source of funding for their college expenses.' This is a key point: pie charts assume mutually exclusive categories that collectively sum to a whole. If students can have multiple funding sources, the categories are not mutually exclusive and the total across categories can exceed 100% or require double counting, which a single pie chart cannot accurately represent. This makes the pie chart unsuitable for this data as described.

Option C: 'A pie chart does not work for this data because this is quantitative data.' This again conflates data type with chart suitability. The issue isn’t whether the data are quantitative per se, but whether the data are mutually exclusive parts of a single whole. Describing the data as quantitative does not inherently disqualify a pie chart, but in this case the mutual exclusivity problem is the actual limitation.

Option D: 'A pie chart works for this data because students have more than one source of funding for their college expenses.' This statement wrongly asserts that having multiple sources makes a pie chart appropriate. In fact, multiple sources mean the proportions aren’t mutually exclusive per category, so a pie chart would misrepresent the data. The reasoning here is incorrect.

In summary, the critical point is whether the data can be cleanly partitioned into non-overlapping categories that sum to a whole. Since students may report more than one funding source, a pie chart would not accurately reflect the distribution. Therefore, the reasoning in the other options either mischaracterizes the data type or incorrectly asserts suitability of a pie chart given non-exclusive categories.

UW Stout's Freshman Survey of first‑time, full‑time freshmen who entered college in 2022 reports the following data on the sources students use to pay for college expenses: Which statement best fits the use of a pie chart for this data?

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UW Stout's Freshman Survey of first‑time, full‑time freshmen who entered college in 2022 reports the following data on the sources students use to pay for college expenses: Which statement best fits the use of a pie chart for this data?

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