Ya, can't help if you don't show the questions.
Answer:
Step-by-step explanation:
a. H0: μ ≤ 104 Ha: μ > 104
Assuming the data leads to the rejection of the null hypothesis, we would conclude that there is no sufficient statistical evidence to prove that the cost of electricity for an efficient home in a particular neighborhood of Cincinnati, Ohio, was $104 per month.
b. The type error in this situation would be rejecting the null hypothesis when it is actually true. Rejecting the fact that the cost of electricity for an efficient home in a particular neighborhood of Cincinnati, Ohio, was $104 per month when it was actually true.
c. Type II error in this case would be failing to reject the null when it is false. Failing to reject the fact that the cost of electricity for an efficient home in a particular neighborhood of Cincinnati, Ohio, was $104 per month when it is actually not true.
The consequences for these errors might be disastrous including sueing of the accuser party etc.
I don’t know because it wouldn’t pop up
Answer:
i think it's -1 / -1
nut i'm not sure so if its wrong then sorry , and don't thank's me...
