If we accept the null hypothesis when, in fact, it is false, we have: committed
ID: 2929899 • Letter: I
Question
If we accept the null hypothesis when, in fact, it is false, we have:
committed a Type I error.
committed a Type II error.
a probability of being correct that is equal to the P-value.
a probability of being correct that is equal to 1 – P-value.
there are all different answers and i am confused on what one it is please help
If we accept the null hypothesis when, in fact, it is false, we have:
committed a Type I error.
committed a Type II error.
a probability of being correct that is equal to the P-value.
a probability of being correct that is equal to 1 – P-value.
there are all different answers and i am confused on what one it is please help
Explanation / Answer
We have committed a Type II error. The Type II error is an error where we accept a false null Hypothesis