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AP® Statistics · Unit 1 · Topic 1.4

Graphical Representations for One Categorical Variable: Revision Notes (Statistics 1.4)

One-page recap of bar charts and pie charts for one categorical variable: slice angles, reading counts back, fair comparisons and the mistakes that cost marks.

Short on time? This page is the recap. For explanations, figures and worked examples, use the full study guide.

Recap

  • A bar chart shows one categorical variable with one bar per category. The bar’s height (or length) is the frequency or the relative frequency.
  • A pie chart shows the same distribution as slices of a circle. Each slice’s share of the whole circle is its relative frequency, and all the slices together make up the whole.
  • A frequency bar chart and a relative frequency bar chart of one data set have the same shape; only the axis scale differs.
  • Graphs are evidence: a claim must quote values read from the graph and be stated in context.
  • Tables, bar charts and pie charts can all compare two or more groups on the same categorical variable.

Key relationships

You know You want Use
count, n relative frequency count ÷ n
relative frequency slice angle relative frequency × 360°
slice angle, n count (angle ÷ 360°) × n
relative frequency, n count relative frequency × n
all slice angles a check they add to 360°
two groups with different n a fair comparison compare relative frequencies

Assumptions and conventions

  • For a pie chart, every individual is in exactly one category and no category is left out.
  • Bars are separate, of equal width, and the frequency axis starts at 0.
  • Order the bars by size, or keep a natural order (for example, “Never, Sometimes, Often”) if there is one.
  • Rounded percentages may total 99.9% or 100.1%. Say the difference is due to rounding.

Mistakes to avoid

  1. Comparing counts from groups of different sizes. Use proportions.
  2. “Most common” read as “most”. A majority needs more than 0.50.
  3. Using a percentage as an angle. 30% is 108°, not 30°.
  4. A pie chart for “tick all that apply” data. The parts add to more than the whole. Use a bar chart.
  5. An axis that does not start at 0, which exaggerates differences.
  6. Calling a bar chart “skewed”. Categories have no number-line order, so describe the most and least common categories instead.
  7. Reading a count from a proportion without n. You cannot.

Quick self-check

  1. A category has relative frequency 0.15. What is its slice angle? (0.15 × 360° = 54°)
  2. In a pie chart of 64 people, a slice has angle 90°. How many people is that? (90 ÷ 360 × 64 = 16 people)
  3. Group A (n = 500) has 150 people in a category; group B (n = 200) has 70. Which group has the larger proportion in it? (A: 0.30; B: 0.35, so B, even though its count is smaller)

Next: practice questions.

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