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AP® Statistics · Unit 1 · Topic 1.1

Introducing Statistics: What Can We Learn from Data? Revision Notes (Statistics 1.1)

One-page recap of the parts of a statistical study, N and n, why we sample, what makes a valid investigative question and how to write in context.

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

Recap

  • Statistics helps you learn from data when the answer varies from one individual to another.
  • A statistical study uses data from a sample so that it can answer an investigative question about the whole population.
  • We sample because the population is too large, or too hard, costly or destructive to measure in full.
  • Each part of a study, and each number from it, matches something real. Saying what it matches is writing in context.

Key relationships

Term Meaning Example (fictional Sandmere College bus survey)
Investigative question The question the study answers What proportion of the college’s students would use a Friday late-night bus?
Population All items or individuals of interest All Sandmere College students
N Population size 2,400
Sample Subset of the population that data come from The 150 students asked
n Sample size (n < N) 150
Datum One piece of information about one individual One student’s “Yes”
Data set The whole collection of data All 150 answers

Assumptions and conventions

  • Capital N is always the population size; lower-case n is always the sample size.
  • A population can be people, objects, animals, days or anything else the question is about.
  • A sample result describes the sample. Another sample would probably give a slightly different value.
  • A valid investigative question is decided before the data are analysed and is not changed afterwards.

Mistakes to avoid

  1. Swapping N and n, or calling the sample “the population”.
  2. Treating a look-up fact as statistical: “What time does the bus leave?” needs no data that vary.
  3. Vague questions: words like “good” or “like” need a defined, measurable meaning.
  4. Changing the question after seeing results. This makes the evidence look stronger than it is.
  5. No context: “58%” alone earns little. Say 58% of whom, doing what.
  6. Claiming the sample value is exactly the population value.

Quick self-check

  1. A club asks 120 of its 900 members whether they want a summer trip. Give N and n. (N = 900 members, n = 120 members asked)
  2. In question 1, 42 of the members asked say yes. State the result in context. (42 of the 120 club members asked (35%) said they want a summer trip.)
  3. Is “How old is the club’s founder?” a statistical investigative question? (No. It has one fixed answer, so no data that vary are needed.)

Next: practice questions.

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