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AP® Statistics · Unit 1 · Topic 1.3

Tabular Representation and Summary Statistics for One Categorical Variable: Revision Notes (Statistics 1.3)

One-page recap of frequency and relative frequency tables, converting between counts, proportions, percentages and ratios, and wording claims that the numbers support.

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

Recap

  • A categorical variable places each individual in exactly one category.
  • A frequency table gives the count of individuals in each category.
  • A relative frequency table gives the proportion in each category.
  • Proportions, relative frequencies, percentages and ratios carry the same information in different forms.
  • Summarise a categorical variable with counts, proportions and the most common category, never a mean or median.
  • Counts and proportions can justify a claim in context, if the claim’s wording matches the numbers.

Key relationships

Idea How to find or check it
Frequency (count) number of individuals in the category; all counts add to n
Relative frequency (proportion) count ÷ n; between 0 and 1; all add to 1
Percentage proportion × 100; all add to 100% (allow small rounding differences)
Count from a proportion proportion × n (you must know n)
Group of categories add their proportions (categories do not overlap)
“Not” a category 1 − proportion in that category
Part-to-whole ratio “a out of n” = a ÷ n
Part-to-rest ratio a : (n − a); turn back with a ÷ (a + (n − a))
“A majority” proportion > 0.5
“Most common” largest count or proportion, which can be below 0.5

Assumptions and conventions

  • Each individual is counted in exactly one category. If people could choose several answers, the table is not the distribution of one categorical variable.
  • List categories from largest to smallest count, unless they have a natural order.
  • Round proportions to 3 decimal places (or percentages to 1 decimal place) unless exact. Say when a total differs from 1 because of rounding.
  • A table from a survey describes that sample. Its proportions are statistics, not certain facts about everyone.

Mistakes to avoid

  1. Dividing by 100 instead of n to get a relative frequency.
  2. Forgetting to check that counts add to n and proportions add to 1.
  3. Calling the most common category a majority when its share is 50% or less.
  4. Comparing counts from groups of different sizes. Compare proportions instead.
  5. Mixing up ratio types: 9 : 16 (part to rest) is not 9 out of 16.
  6. Inventing a count from a percentage when n is not given.
  7. No context: name the category, the individuals and the group surveyed.

Quick self-check

  1. In a fictional survey, 18 of 45 shoppers paid by card. What is the relative frequency of “card”? (18 ÷ 45 = 0.40)
  2. A relative frequency table shows 0.15 for “Late” and n = 320 trains. How many trains were late? (0.15 × 320 = 48 trains)
  3. The ratio of “Yes” to “No” answers is 2 : 3, and there are no other answers. What proportion said “Yes”? (2 ÷ (2 + 3) = 0.40)

Next: practice questions.

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