AP Statistics 1.13 D Justify the Appropriateness of the Conclusions Based on a Well Designed Experiment Questions

Practise deciding when an experiment supports causation and how far its conclusion can generalize, using random assignment, participant selection, and studied units.

Syllabus
Effective Fall 2026
Course
AP Statistics

Exam points

  • justify a cause-and-effect conclusion from random assignment that reduces alternative confounding explanations
  • limit population generalization from volunteer or nonrandomly selected units to similar participants
  • restrict conclusions to the species, materials, treatments, or settings actually represented in the experiment
  • interpret a nonsignificant result as insufficient evidence of an effect rather than proof of no relationship

AP Statistics 1.13 D Justify the Appropriateness of the Conclusions Based on a Well Designed Experiment Questions question 1

The anterior cruciate ligament (ACL) is one of the ligaments that help stabilize the knee. Surgery is often recommended if the ACL is completely torn, and recovery time from the surgery can be lengthy. A medical center developed a new surgical procedure designed to reduce the average recovery time from the surgery. To test the effectiveness of the new procedure, a study was conducted in which 210 patients needing surgery to repair a torn ACL were randomly assigned to receive either the standard procedure or the new procedure.

Based on the design of the study, would a statistically significant result allow the medical center to conclude that the new procedure causes a reduction in recovery time compared to the standard procedure, for patients similar to those in the study? Explain your answer.

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