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% confidence interval
from this population. What critical value should you use? (3
decimal places)
a) Number of standard errors = z score corresponding to which 89% area lies to its left = 1.227
b) From z table output,
Critical value for 89% confidence interval = 1.598
When a truckload of apples arrives at a packing plant, a random sample of 150 apples...
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 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)
ILL UPVOTE 100%!!!!!!
Potato Bruises
A sample of 150 potatos were spot checked for
bruises. "Yes" indicates that there were visible bruises.
Yes
To determine the total number of "Yes" answers, use
=countif(select data in column A, "Yes")
Yes
To determine the total number of "No" answers, use
=countif(select data in column A, "No")
Yes
Yes
x--the number of bruised potatos
Yes
n--sample size (total number of potatos checked)
Yes
point estimate (pbar)--x/n
Yes
z--use = - norm.s.inv((1-confidence level)/2)
Yes...