RESEARCH METHODOLOGY

Detailed explanation-1: -A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.

Detailed explanation-2: -A type I error occurs when in research when we reject the null hypothesis and erroneously state that the study found significant differences when there indeed was no difference. In other words, it is equivalent to saying that the groups or variables differ when, in fact, they do not or having false positives.

Detailed explanation-3: -Type I error is the probability of rejecting the null when it is true is TRUE. A type I error is also known as the error of false rejection. That is, when a type I error occurs, the statistician incorrectly rejects the null hypothesis even though it is true.

Detailed explanation-4: -Type 1 errors have a probability of “” correlated to the level of confidence that you set. A test with a 95% confidence level means that there is a 5% chance of getting a type 1 error.