When a truckload of apples arrives at a packing plant, a random sample of 125 is selected and examined for bruises, discoloration, and other defects. The whole truckload will be rejected if more than 6 % of the sample is unsatisfactory. Suppose that in fact 11 % of the apples on the truck do not meet the desired standard. What is the probability that the shipment will be accepted anyway?
P(accepted)equals=nothing
(Round to three decimal places as needed.)
When a truckload of apples arrives at a packing plant, a random sample of 125 is...
When a truckload of apples arrives at a packing plant a random sample of 175 is and other defects. The whole truckload will be rejected if more than 5% of the sample is unsatisfactory. Suppose that in fact 9% of the apples on the truck do not meet the desired standard. What is the probability that the shipment will be accepted anyway? P(accepted) = (Round to three decimal places as needed)
When a truckload of apples arrives at a packing plant, a random sample of 150 apples are selected and examined for bruises and other defects. In reality, 9% of the apples on a particular truck are bruised or otherwise unsatisfactory. (a) How many standard errors away from 0.09 would you need to go to contain 89% of the sample proportions of bad apples you might expect to find? (3 decimal places) (b) Suppose you were going to construct an 89%...