Karen would now like to forecast sales for january through december of the next year, months 37 through 48, using this decomposition method. which process is the correct one for making this forecast?

a. multiply each month by 1.02, then add 169.499, and then multiply that quantity by that each month's respective seasonal index.

b. multiply each month by 1.02 and then add 169.499.

c. multiply each month by its seasonal index, then add 169.499, and then divide that quantity by 1.02.

d. multiply each month by 1.02, then add 169.499, and then divide that quantity by that each month's respective seasonal index.

You are in charge of the customer service phone line with many employees. at the end of each phone callthe customers are asked to rate their service from 1 to 5 stars, with 5 being the best. you find the averagerating for 20 randomly selected employees and decide you want to improve the ratings so you require thoseemployees to go through a new training program. you then wait a week and find the new average rating foreach employee. the average change is an increase in 1.3 stars with a standard devation of .9 stars.(a) is this data paired or not paired? (b) what are the null and alternative hypothesis being tested? (c) what is the t-statistic you would use? write the general formula and the final calculation.(d) sketch a t-distribution, label your t-statistic and the probability you would be interested in: