Week 11 · Suggested 90 minutes · First-pass draft

An exact test and a computational interval

Demonstrate two inferential ideas that can be understood without memorizing a reference-distribution table.

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. Enumerate the 70 balanced assignments of four of eight participants and calculate the exact two-sided randomization p-value for the given outcomes.
  2. Compare the one-sided and two-sided alternatives, explaining why they must be specified before seeing the results.
  3. Bootstrap the fictional waiting-time data, changing the number of replicates while preserving the original observations.
  4. Compare Monte Carlo variability with uncertainty inherent in the original sample and identify design limits.

What to submit

One exact randomization table, one bootstrap summary, and a plain-language limitations memo.

Self-check before finishing

Under the stated sharp null, the two-sided exact randomization p-value is 2/70 ≈ .02857.

Assigned reading

Enumerate assignments and resample empirical data.

Instructor discussion guidance

Require the sharp-null and randomized-assignment assumptions; label synthetic data accurately.

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

All fourteen assignments →