Answer:
Explanation:
Type I error occurs if the null hypothesis is rejected when in the real sense, it is actually true.
Type II error occurs if the null hypothesis is not rejected when in the real sense, it is actually false.
The null hypothesis is
H0: μ = 9.6 hours
The alternative hypothesis is
Ha: μ > 9.6
Suppose that the results of the sample lead to non rejection of the null hypothesis if in fact the mean running time has increased it means that
a) the conclusion is a type I error because the null hypothesis was of rejected even though it was false