Select the statement that correctly describes a Type I error.
A Type I error occurs when the null hypothesis is rejected when it is actually false.
A Type I error occurs when the null hypothesis is accepted when it is actually false.
A Type I error occurs when the null hypothesis is accepted when it is actually true.
A Type l error occurs when the null hypothesis is rejected when it is actually true.
Given that,
A type 1 error occurs when the null hypothesis is rejected when it is actually true.
In statistical hypothesis testing , a type one error is the rejection of a true null hypothesis. while a type 2 error is the non - rejection of a false null hypothesis.