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.

Expert Solution

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.

milcah answered 2 years ago

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