Binomial and Poisson tests
Assume nothing has changed (), then ask how surprising your observation would be. If the probability of a result at least that extreme is below the significance level, the evidence says something has changed.
≈ 40 minType I and Type II errors
Every test can go wrong in two ways: crying wolf (rejecting a true , Type I) or missing the wolf (keeping a false , Type II). Their probabilities come straight from the critical region.
≈ 35 min