QUESTION 31 John Wiggins owns two car dealerships with the same sized sales staffs (ten in each) selling the same automaker's cars but in different parts of the city. In the past, the two dealerships have been obtaining approximately equal sales success. John recently decided to go through a period of self-improvement and took some courses at a local college. One course covered Communication and another introduced Statistics and Research Methods. John decided to test whether improved communication styles in his sales staff (primarily focusing on "full-channel listening") would improve sales. So he implemented this strategy: at dealership A's daily sales meeting, he introduced short discussions about strategies to utilize full-channel listening when communicating with customers - this was done in addition to offering the normal sales information; at dealership B's daily sales meeting, only the normal sales information was provided. After a month of this strategy, looking across daily sales, John was able to calculate the means and the standard deviations for each of the different dealerships. Which test coefficient do you believe Mr. Wiggins is expecting to calculate to determine whether his educational strategy about full- channel listening will improve sales beyond pure chance? a. one-sample t-test b. z-score OoOO c. z-test d. none of the above QUESTION 32 With respect to the "John Wiggins" vignette above, suppose John had discovered that the grand mean of all sales-per-day across both A and B dealership was $44.5K and the standard deviation was $3.13K. In addition to that, John found the mean and standard deviation of sales-per-day for dealership A was $45.48K and $2.72K respectively; the mean and standard deviation of sales-per-day for dealership B was $43.52K and $2.83K respectively. Furthermore the standard error of the difference between the means was approximately $0.72K. John knew there were 31 days in the month that each of the two