Practitioner's Guide To Statistical Sampling: Part 3
By Brian KrieglerJanuary 10, 2018, 10:36 AM EST
Law360, New York (January 10, 2018, 10:36 AM EST) -- This is the third of four articles on statistical sampling in practice. In part 1 and part 2, I demonstrated that random sampling is a neutral and unbiased process. I also presented multiple methods for computing reliable confidence intervals. In part 3 below, I offer various solutions for dealing with missing sample selections so that statistical inferences remain valid. Looking ahead to part 4, I discuss several common misperceptions about random sampling requirements.
Making Valid Statistical Inferences When Sample Selections Are Missing