QUESTION 1 5 points Save Answer You are in charge of a credit card telemarketing salesforce that responds to warm-leads on commercial offers (e.g., restaurant deals, vacation packages, etc.). You would like to better understand expected sales performance and identify high- and low-performers on your team. Use the following assumptions to develop a detailed understanding of expected revenue, per salesperson, per shift. Assumptions: * Each person on your team can reasonably complete around 100 calls in a shift. *A call is answered 35% of the time. For answered calls, 72% of the time the person who answers is the primary cardholder, otherwise not. + Contact with primary cardholders results in a purchase 30% of the time, with a purchase size described by a normal distribution of mean $33.93 and SD $7.61. Contact with Non-primary-cardholders results in a purchase 5% of the time, with a purchase size described by a normal distribution of mean $20.10 and SD $5.50. Tip: Use the Crystal Ball functions (e.g., cb. YesNo, cb.Normal) to make assigning assumptions easier. Develop a Monte Carlo simulation to calculate the distribution of eamings per salesperson, per shift. a. Interpret your forecast graph. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIVS Paragraph Arial 10pt # 4 Ix XQ E EX X P QUESTION 2 b) What is the probability of a salesperson earning more than $400 in revenue? (Provide answer in decimal form) QUESTION 3 c) Assuming shift performance is independent from day to day, and that this model is a reasonable representation of most salespeople, would you identify a salesperson as a high performer given two days in a row of shift sales around $400? O Yes O No V O WORDS POWERED BY TINY 5 points Save Answer 5 points Save