Binomial nominal data (i.e. counts of categories). Exs: "Success"/"Failure" Yes/No Agree/Disagree Pass/Fail Defective/OK Good/Evil A/B
Population's categories' sizes: Treat first as the #Successes (#1's). Sample size n=
Population proportions: The first is p (or π).
Sample proportions: "Error"(sum of |diffs|): The first is p̂.
Sample's categories' sizes:
Pop cat sizes: 100 200 300 400 Sample size: 10 vs. 100