A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 75 stores this month shows mean sales of 52 units of a small appliance, with standard deviation 13 units. During the same month last year, an SRS of 53 stores gave mean sales of 49 units, with standard deviation 11 units. An increase from 49 to 52 is rise of 6%. The marketing manager is happy, because sales are up 6%. 1) Use the two-sample t procedure to give a 95% confidence interval for the difference between this year and last year in the mean number of units sold at all retail stores. 2) Explain in language that the manager can understand why we cannot be confident that sales rose by 6%, and that in fact sales may even have dropped.