An engineer is going to redesign an ejection seat for an airplane. The seat was designed for pilots weighing between 150 lb and 191 lb. The new population of pilots has normally distributed weights with a mean of 157 lb and a standard deviation of 29.1 lb. a. If a pilot is randomly selected, find the probability that his weight is between 150 lb and 191 lb. The probability is approximately nothing. (Round to four decimal places as needed.) b. If 37 different pilots are randomly selected, find the probability that their mean weight is between 150 lb and 191 lb. The probability is approximately nothing. (Round to four decimal places as needed.) c. When redesigning the ejection seat, which probability is more relevant? A. Part (b) because the seat performance for a single pilot is more important. B. Part (a) because the seat performance for a sample of pilots is more important. C. Part (b) because the seat performance for a sample of pilots is more important. D. Part (a) because the seat performance for a single pilot is more important.
a)
for normal distribution z score =(X-μ)/σx | |
here mean= μ= | 157 |
std deviation =σ= | 29.100 |
probability that his weight is between 150 lb and 191 lb:
probability = | P(150<X<191) | = | P(-0.24<Z<1.17)= | 0.8790-0.4052= | 0.4738 |
b)
sample size =n= | 37 |
std error=σx̅=σ/√n= | 4.7840 |
probability that their mean weight is between 150 lb and 191 lb:
probability = | P(150<X<191) | = | P(-1.46<Z<7.11)= | 1-0.0721= | 0.9279 |
c)
Part (a) because the seat performance for a single pilot is more important.
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