In: Statistics and Probability
An engineer is going to redesign an ejection seat for an airplane. The seat was designed for pilots weighing between 150 lb and 201 lb. The new population of pilots has normally distributed weights with a mean of 159 lb and a standard deviation of 26.6 lb.
A. If a pilot is randomly selected, find the probability that his weight is between 150 lb and 201 lb.The probability is approximately______?
(Round to four decimal places as needed.)
B. If 40 different pilots are randomly selected, find the probability that their mean weight is between 150 lb and 201 lb.The probability is approximately______?
(Round to four decimal places as needed.)
C. When redesigning the ejection seat, which probability is more relevant?
A.Part (a) because the seat performance for a single pilot is more important.
B.Part (b) because the seat performance for a single pilot is more important.
C.Part (a) because the seat performance for a sample of pilots is more important.
D.Part (b) because the seat performance for a sample of pilots is more important.
A) = 159 lb
= 26.6 lb
P(X < A) = P(Z < (A - )/)
P(weight is between 150 lb and 201 lb for a single pilot) = P(150 < X < 201)
= P(X < 201) - P(X < 150)
= P(Z < (201 - 159)/26.6) - P(Z < (150 - 159)/26.6)
= P(Z < 1.58) - P(Z < -0.34)
= 0.9429 - 0.3669
= 0.5760
B) For sampling distribution of mean,
P( < A) = P(Z < (A - )/)
Sample size, n = 40
= = 159 lb
=
=
= 4.206
P(mean weight is between 150 lb and 201 lb for a sample of 40 pilots) = P(150 < < 201)
= P( < 201) - P( < 150)
= P(Z < (201 - 159)/4.206) - P(Z < (150 - 159)/4.206)
= P(Z < 9.99) - P(Z < -2.14)
= 1 - 0.0162
= 0.9838
C) A.Part (a) because the seat performance for a single pilot is more important