Answer:
Step-by-step explanation:
A type I error occurs when the researcher rejects the null hypothesis when it is actually true.
A type II error occurs when the research fails to reject the null hypothesis when it is not true.
In this case study,
The null hypothesis is the standard deviation is less that or equal to 13min.
The alternative hypothesis would be that the standard deviation is greater than 13mins.
A type I error would occur when having done an experiment, the researcher rejects the null hypothesis when there is enough evidence that it is actually either less or equal to 13mins
A type II error would occur when the researcher fails to reject the null hypothesis when there is enough evidence that it is actually more than 13mins.
