Question

If a hypothesis test has a Type I error probability (?) of 0.01, it means that if the null hypothesis is false, you reject it 1% of the time. if the null hypothesis is false, you don't reject it 1% of the time. if the null hypothesis is true, you don't reject it 1% of the time. if the null hypothesis is true, you reject it 1% of the time.

          If a hypothesis test has a Type I error probability (?) of 0.01, it means that

if the null hypothesis is false, you reject it 1% of the time.
if the null hypothesis is false, you don't reject it 1% of the time.
if the null hypothesis is true, you don't reject it 1% of the time.
if the null hypothesis is true, you reject it 1% of the time.

If a hypothesis test has a Type I error probability (?) of 0.01, it means that

if the null hypothesis is false, you reject it 1% of the time.
if the null hypothesis is false, you don't reject it 1% of the time.
if the null hypothesis is true, you don't reject it 1% of the time.
if the null hypothesis is true, you reject it 1% of the time.

Added by Tiffany M.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Robin Corrigan

03/14/2023

Step 1

If the null hypothesis is false and you reject it 1% of the time, that means you are making a Type II error (failing to reject a false null hypothesis). This is not the definition of a Type I error. Show more…

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If a hypothesis test has a Type I error probability (α) of 0.01, it means that: - if the null hypothesis is false, you reject it 1% of the time. - if the null hypothesis is false, you don't reject it 99% of the time. - if the null hypothesis is true, you don't reject it 99% of the time. - if the null hypothesis is true, you reject it 1% of the time.