A type II error is a statistical term referring to accepting a false null hypothesis. It contrasts with a type I error that occurs when rejecting a true null hypothesis.

A Lesson in Inferential Statistics: Type I vs. Type II Errors Sometimes the best option is the lesser of two evils. Posted April 26, 2010 ...

This said, “Type-I Error” and “Type-II Error” are clearly arbitrary labels! These names do not give the reader an intuitive sense of what you’re talking about!

Control chart- a time-ordered plot of sample statistics, used to distinguish between random and nonrandom variability Control limits- the dividing lines between random and nonrandom deviations from ...

The choice between single-arm, historically controlled and randomized, concurrently controlled designs for phase II oncology clinical trials remains controversial. In practice, most phase II cancer ...

For a type I error rate α and type II error rate β (or equivalently, statistical power [1 − β]), BayeSize determines the trial sample size by seeking an integer n that satisfies ...

Although scientists from various disciplines stress the importance of estimating random measurement error, these discussions have little effect on experimenters who do behavioral sociological research ...