Type I error or alpha (α) error refers to an erroneous rejection of the null hypothesis (H0).

In research, the first step of statistical testing is the setting of hypotheses. A type I error occurs when the H0 is rejected. Type I errors are also known as ‘false positives’; they are the detection of a positive effect where no effect actually exists.

See also: type II error