Type 01 and Type 02 Error

Oct 23, 2025 • 1h 47m • 72 views

In statistics, a Type I error is a false positive conclusion, while a Type II error is a false negative conclusion. Making a statistical decision always involves uncertainties, so the risks of making these errors are unavoidable in hypothesis testing. The probability of making a Type I error is the significance level, or alpha (α), while the probability of making a Type II error is beta (β). These risks can be minimized through careful planning in your study design.