Discuss the below:
Q1: Suppose you are working for a regional residential natural gas utility. For a sample of 95 customer visits, the staff time per reported gas leak has a mean of 228 minutes and standard deviation 30 minutes. The VP of network maintenance hypothesizes that the average staff time devoted to reported gas leaks is 235 minutes. At a 10 percent level of significance, what is the upper bound of the interval for determining whether to accept or reject the VP's hypothesis?
Q2: Suppose the number of residents within five miles of each of your stores is asymmetrically distributed with a mean of 15 thousand and a standard deviation of 11.9 thousand. What is the probability that the average number of residents within five miles of each store in a sample of 55 stores will be fewer than 16.4 thousand?