ased on a random sample of 100 delivery times, the manager of a pizza house obtains the following 99% confidence interval for the average delivery time: (25 minutes, 30 minutes). The manager concludes that at least 99% of the pizzas are delivered in less than 30 minutes and that it will be safe to go ahead with the following special offer: "Pizza delivered in 30 minutes or the pizza is free." If the distribution of the population is normal approximately what percentage of the pizzas could be delivered for free in a worse case scenario? This question asks what is the largest possible revenue loss, what is the largest percentage of pizzas that could be delivered for free? Group of answer choices 50% 10% 1% 25%
Based on a random sample of 100 delivery times, the manager of a pizza house obtains the following 99% confidence interval for the average delivery time:
(25 minutes, 30 minutes). The manager concludes that at least 99% of the pizzas are delivered in less than 30 minutes and that it will be safe to go ahead with the following special offer:
"Pizza delivered in 30 minutes or the pizza is free."
If the distribution of the population is normal approximately what percentage of the pizzas could be delivered for free in a worse case scenario? This question asks what is the largest possible revenue loss, what is the largest percentage of pizzas that could be delivered for free?
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