Type II Error
Definition
Failing to reject a false null hypothesis — a false negative. Probability falls as sample size and effect size rise.
Example
Concluding a drug doesn't work when it actually does is a type II error.
Failing to reject a false null hypothesis — a false negative. Probability falls as sample size and effect size rise.
Concluding a drug doesn't work when it actually does is a type II error.