Type I and type II errors

In statistics, type I and type II errors are errors that happen when a coincidence occurs while doing statistical inference, which leads to one making the wrong conclusion. One makes a Type I error when the null hypothesis is rejected, when it is actually true. Conversely, one makes a Type II error when the null hypothesis is accepted, when it is actually false. The probability of type I error is often written as , while the probability of type II error is written as .

 Related pages 
 Alpha
 Beta
 False positives and false negatives
 Power of a test

 References 

Category:Errors and residuals in statistics