There are primarily two types of errors that occur, while hypothesis testing is performed, i.e. either the researcher rejects H0, when H0 is true, or he/she accepts H0 when in reality H0 is false. So, the former represents type I error and the latter is an indicator of type II error. The testing of hypothesis … Continue reading Difference Between Type I and Type II Errors