A sales representative who is on the road visiting clients thinks that, on average, he drives the same distance each day of the week. He keeps track of his mileage for several weeks and discovers that he averages 128 miles on Mondays, 202 miles on Tuesdays, 175 miles on Wednesdays, 186 miles on Thursdays, and 117 miles on Fridays. He wonders if this evidence contradicts his belief in a uniform distribution of miles across the days of the week. Is it appropriate to test his hypothesis using the chi-square goodness-of-t test? Explain. Choose the correct answer below. 0 A. It is not appropriate to use the chi-square goodness-oft test because the salesman only has data for one week, and he would need multiple weeks to use this type of test. 0 B. It is appropriate to use the chi-square goodness-of-t because there is no pattern in the data, and it is measured in a summary count of multiple weeks. 0 C. It is not appropriate to use the chi-square goodness-oft test because the average number of miles traveled is quantative data, not counts. 0 D. It is appropriate to use the chi-square goodness-of-t because he has counts, all of the expected counts are greater than 5, and we have the entire population for his work week