AP Statistics 1.13 Experimental Design Questions

Practise building and evaluating experiments through random assignment, comparison, replication, blocking, matching, control, and defensible causal conclusions.

Syllabus
Effective Fall 2026
Course
AP Statistics

Exam points

  • identify comparison, random assignment, replication, control, and blinding in a well-designed experiment
  • classify or construct completely randomized, randomized block, and matched-pairs treatment assignments
  • justify blocking, matching, or direct control by linking the design to relevant response variation
  • use random assignment and statistical evidence to decide whether a cause-and-effect conclusion is warranted
  • limit generalization to populations, experimental units, treatments, and settings represented by the study

Question 1

[Maximum number: 4]

Researchers are investigating the effectiveness of using a fungus to control the spread of an insect that destroys trees. The researchers will create four different concentrations of fungus mixtures: 0 milliliters per liter (ml/L), 1.25 ml / L, 2.5 ml / L, and 3.75 ml / L. An equal number of the insects will be placed into 20 individual containers. The group of insects in each container will be sprayed with one of the four mixtures, and the researchers will record the number of insects that are still alive in each container one week after spraying.

Question (a)

(a)

Does the experiment have a control group? Explain your answer.

Question (b)

(b)

Describe how the treatments can be randomly assigned to the experimental units so that each treatment has the same number of units.

Question 2

A car maker produces four different models of cars: A, B, C, and D. A group of researchers is investigating which model of car has the longest distance traveled per gallon of gas (mileage). Higher mileage is considered better than lower mileage. The researchers will conduct a study in which they contact several owners of each model of car and ask them to estimate their mileage.

Model D has an autopilot feature, in which the car controls its own motion with human supervision. James owns a Model D car and will investigate whether using the autopilot feature results in higher mileage than not using the autopilot. James will drive his car on 70 different days to and from work, using the same route at the same time each day. James will record the mileage each day.

James will use a completely randomized design to conduct his investigation. Describe an appropriate method James could use to randomly assign the two treatments, driving using the autopilot feature and driving without using the autopilot feature, to 35 days each.

Question 3

[Maximum number: 4]

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.

Question (a)

(a)

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.

Question (b)

(b)

For the dermatologist's experiment, describe how the treatments can be randomly assigned to people using a matched-pairs design in which twins are paired.

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