Final answer:
Without specific data, we can't determine which store has a higher expected number of DVDs rented per customer. For estimating total rentals at Video to Go, we would multiply the average DVDs rented per customer by the forecast of 300 customers for next week.
Step-by-step explanation:
To determine which store has the higher Customer Lifetime Value (CLV), we would need data regarding customers' spending habits and the stores' retention rates over time, which are not provided in this question. Since the question appears to be in relation to mathematics, specifically probability and statistics, and refers to a higher expected number of DVDs rented per customer and an estimation problem, it is best to focus on the given scenarios of 'e' and 'f' as posed in this schoolwork question.
For part 'e' of the question, without the specific data on each store, we cannot accurately determine which store has a higher expected number of DVDs rented per customer. However, for part 'f', if Video to Go estimates they will have 300 customers next week, and we were given an average or expected number of DVDs rented per customer, we could calculate the total expected rentals by multiplying this average by 300 customers.
As this specific average number is not provided in the question, we would need that piece of information to complete the answer. Assuming we had an average of 'x' DVDs per customer, the expected rentals would be 300 customers multiplied by 'x' DVDs, equaling '300x' DVDs expected for next week.