Statistical testing provides a paradigm for deciding whether the data are or are not typical of the values expected when the hypothesis is true. Because our objective is usually to detect a departure ...

Precedents set in the historic Barr case continue to raise questions over suitable sample-size criteria. "... the number of retests performed before a firm concludes that an unexplained out of ...

I recently wrote about a study on the effectiveness on school vouchers from the Brookings Institution’s Matthew Chingos and Harvard University’s Paul E. Peterson. The study’s received some attention, ...

In the Neyman-Pearson theory of hypothesis testing it is customary to calculate significance levels and power functions on the assumption that the sample size is fixed. The main purpose of this paper ...

Back in the day, we learned in statistics that you need a sample size of at least 2% of the size of population to make statistically significant conclusions about the behavior of the population. In ...

When auditing a company, auditors use a combination of professional judgment and statistical sampling methods to estimate account balances. Statistical sampling is an efficient way to design samples, ...

Randomized clinical trials serve as the standard for clinical research and have contributed immensely to advances in patient care. Nevertheless, several shortcomings of randomized clinical trials have ...

In a September 28, 2018 Change Request to Medicare’s Program Integrity Manual (“PIM”), the Centers for Medicare & Medicaid Services (“CMS”) updated its instructions to Medicare contractors regarding ...