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Stats: Evaluation Content and Structure Flashcards

7 cards from real AP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Stats: Evaluation Content and Structure flashcards as text
  1. A researcher surveys every 10th student on an alphabetical class roster. What type of sampling method is this?

    Answer: Systematic sampling

    Systematic sampling selects every kth element from an ordered list after a random start.

  2. Which of the following best describes a confounding variable in an experiment?

    Answer: A variable related to both the explanatory and response variable that can distort results

    A confounding variable is associated with both the explanatory variable and the response, making it hard to determine causation.

  3. In an observational study comparing incomes of college graduates vs. non-graduates, why can't we conclude that college causes higher income?

    Answer: Lurking variables such as family background may explain the difference

    Observational studies cannot establish causation because lurking variables may drive any observed association.

  4. A study randomly assigns participants to treatment and control groups. This design feature primarily controls for:

    Answer: Confounding variables

    Random assignment balances both known and unknown confounding variables across treatment groups.

  5. Which of the following is an example of a double-blind experiment?

    Answer: Neither the subjects nor the researchers know who received which treatment

    Double-blind means both participants and those measuring outcomes are unaware of treatment assignments.

  6. A poll asking 'Don't you agree that texting while driving is dangerous?' is an example of:

    Answer: Response bias due to leading question wording

    The phrasing 'Don't you agree' leads respondents toward a particular answer, causing response bias.

  7. A study finds a strong positive correlation (r = 0.92) between shoe size and reading scores in elementary students. The most plausible explanation is:

    Answer: Age is a lurking variable explaining both

    Older children have both larger feet and higher reading scores, making age the lurking variable driving this correlation.