Imagine that we are data scientists tasked with improving the ROI (Return on Investment) of our company’s call center, where employees attempt to cold call potential customers and get them to purchase our product. You look at some historical data and find the following: The typical call center employee completes on average 50 calls per day. The probability of a conversion (purchase) for each call is 4%. The average revenue to your company for each conversion is $20. The call center you are analyzing has 100 employees. Each employee is paid $200 per day of work. We can think of each employee as a binomially distributed random variable with the following parameters: n = 50 p = 4%Using the values found above find the following. Estimate of total revenues Total expenses Estimate of total profits