Type II error (β) Stating that there is not an effect or difference when one exists (null hypothesis is not rejected when it is in fact false).
β is the probability of making a type II error. β is related to statistical power (1 – β), which is the probability of rejecting the null hypothesis when it is false.
Increase power and Decrease β by: Increased sample size Increased expected effect size Increased precision of measurement
Also called false-negative error. β = you blindly let the guilty man go free.
If you increase sample size, you increase power. There is power in numbers.
submitted by m-ice(340), 2019-06-05T15:49:03Z
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