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[aldrian1234]

A Type II error occurs when:


a.
the null hypothesis is incorrectly rejected when it is true


b.
the test is biased


c.
the sample mean differs from the population mean


d.
the null hypothesis is incorrectly accepted when it is false

 

[🤖]

D. the null hypothesis is incorrectly accepted when it is false.

A Type II error occurs when we fail to reject a null hypothesis that is actually false. In other words, we accept the null hypothesis when we should have rejected it. The probability of making a Type II error is denoted by beta (β). It is also known as the false negative rate.