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 ...

Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing reliance on intuition and enhancing decision accuracy. By validating decisions with ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, No. 1 (JANUARY 2017), pp. 225-246 (22 pages) We propose new methodology for two-sample testing in high ...

Power analyses and sample size calculations are important parts of many research projects. Often, before data are even collected, it is necessary to calculate and justify the required sample size for ...

Business owners like to know how their decisions will impact their businesses. According to Harvard Business School Online, before making decisions, managers may explore the benefits of hypothesis ...