We want to conduct a hypothesis test of the claim that the Lppulation mean daily profit of a convenience store is less than 504 dollars. So, we record the daily profit for a "andom sampl_e of days. The sampl_e has a mean of 488 dollars and a standa'cl deviation of T8 dollars. For each of the following sampling scenarios, choose an appropriate test statistic for our hypothesis test on the population mean. Then calculate that statistic. Round your answers to two decimal places. (a) The sample has size 1?, and it is from a population with a distribution about which we know very little. 032 or=] C) It is unclear which test statistic to use. (b) The sample has size 100, and it is from a nonnormally distributed population with a known standard deviation of T6. 03: or=] C) It is unclear which test statistic to use. A corporation that maintains a large eet of company cars for the use of its sales staff is interested in the mean distance driven monthly per salesperson. The following list gives the monthly distances in miles driven by a "andom sampl_e of 19 salespeople. 2488, 1909, 2074, 2035, 1975, 1970, 2465, 2032, 2283, 1945, 1894, 2220, 1926, 2123, 2054, 2516, 2488, 1912, 1926 Send data to calculator Send data to Excel Based on this sample, find a 95% confidence inte'val for the mean number of miles driven monthly by members of the sales staff, assuming that monthly driving distances are no-'mally dist-'ibuted. Give the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your answers to one decimal place. (If necessary, consult a list of fo-'mulas.) Lower limit: I ixs Upper limit