Answer:
Null hypothesis:
Alternative hypothesis:
Explanation:
For this case we define the random variable of interest X as the number of customers in a day. We are interested in the average number of customers visiting the dealership
and we want to test if determine whether there has been a decrease in the average number of customers visiting the dealership daily.
From the info we know that the mean historical value for the average of customers per day is 800 so then that would be the alternative hypothesis since that's what we are trying to proof. And the complement rule would represent the null hypothesis.
Based on this the best system of hypothesis for this case are:
Null hypothesis:
Alternative hypothesis:
The info given for this case:
represent the sample mean
represent the population deviation
n =100 represent the sample size
And in order to check the hypothesis we can use a z test for the mean.