In hypothesis testing, what is a Type I error? Type II error? Solution In testing of hypothesis, {Type I error} is the error committed due torejecting the null hypothesis when it is true. {Type II error} is the error byaccepting a null hypothesis when it is false. REMARK: It is obvious that Type I error is more serious than Type II error..