The mean caffeine content per cup of regular coffee served at a certain coffee shop is supposed to be 100mg. A test is made of Ho: μ=100 versus Ha: μ≠100. A sample of 35 cups does not provide enough evidence that the mean caffeine content is different from 100mg. Which type of error is possible in this situation?
Type I error : reject the null hypothesis H0 , when it is true.
Type II error : fail to reject ( or accept) null hypothesis H0 , when it is false.
Here H0 :
= 100 or mean caffeine content is equal to 100mg.
vs Ha :
100 or mean caffeine content is different than 100mg.
We are given that sample does not provide enough evidence that
the mean is different from 100mg .it means we fail to reject or
accepted the null hypothesis H0 :
= 100
But in actual ,if mean caffeine content is different from 100, then in this situation type II error is possible.
The mean caffeine content per cup of regular coffee served at a certain coffee shop is...
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