a: A data scientist is building a model for a business to evaluate various metrics about the products and outlook. In looking at the data, she decides that a product should be continued if it sold 9500 over the previous year. In addition, the product is considered “popular” if it receives 200 mentions by the local press over the past year.

In selecting a product at random from the company’s web page, let C be the likelihood that this product reached the 9500 thresholds the past year. Let P be the likelihood that the product received the 200 or more mentions by the local press.

The analyst determines that P(C) = 0.307, P(P) = 0.194, and the probability that a product has sold 9500 items, and was ‘popular’ is 0.084. What is the probability that a randomly selected product either sold the requisite 9500 items or that it is ‘popular’?

b: Where would the analyst have come up with the probability values for P(C) and P(P)?