AP Statistics 1.13 C Justify the Appropriateness of a Particular Experimental Design Questions

Practise justifying blocking, matching, and direct control by showing how a design reduces irrelevant variation, avoids confounding, and sharpens treatment comparisons.

Syllabus
Effective Fall 2026
Course
AP Statistics

Exam points

  • justify blocking when units are similar within blocks but expected responses differ meaningfully between blocks
  • explain how blocking or matched pairs removes unit-level variation and increases comparison precision
  • justify direct control of a relevant characteristic to reduce response variability and reveal treatment effects
  • reject a design that confounds treatment with a group characteristic or creates systematically imbalanced groups

AP Statistics 1.13 C Justify the Appropriateness of a Particular Experimental Design Questions question 1

A dermatologist will conduct an experiment to investigate the effectiveness of a new drug to treat acne. The dermatologist has recruited 36 pairs of identical twins. Each person in the experiment has acne and each person in the experiment will receive either the new drug or a placebo. After each person in the experiment uses either the new drug or the placebo for 2 weeks, the dermatologist will evaluate the improvement in acne severity for each person on a scale from 0 (no improvement) to 100 (complete cure).

Each twin in the experiment has a severity of acne similar to that of the other twin. However, the severity of acne differs from one twin pair to another.

For the dermatologist's experiment, describe a statistical advantage of using a matched-pairs design where twins are paired rather than using a completely randomized design.

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