Week 10 · Suggested 75 minutes · First-pass draft

The danger of a beautiful small p-value

Design a study based on a meaningful effect, then evaluate what happens when many hypotheses are tested.

Applied assignment, not a stored grade. Instructions and model checks are provided for self-study or instructor adaptation. Work is not transmitted to this site.

What you will do

  1. Compute the probability of at least one false rejection in twenty independent tests at alpha .05 when all nulls are true.
  2. Compute the Bonferroni per-test threshold for twenty comparisons.
  3. Write a hypothetical study-power statement specifying effect, variance, sample size, and alpha assumptions.
  4. Explain how exploratory analysis can be reported honestly rather than hidden or prohibited.

What to submit

Two calculations and a one-page interpretation of power, selective reporting, and practical importance.

Self-check before finishing

Familywise false rejection is approximately 64.2% in the independent-null model; Bonferroni threshold .0025.

Assigned reading

Balance study-design risks and recognize selective reporting.

Instructor discussion guidance

Assess whether students distinguish a pre-specified claim from a result selected among many analyses.

Print a predict–experiment–explain worksheet → · Open browser R →

All fourteen assignments →