In: Statistics and Probability
An engineer is going to redesign an ejection seat for an airplane. The seat was designed for pilots weighing between 120 lb and 161 lb. The new population of pilots has normally distributed weights with a mean of 129 lb and a standard deviation of 29.1 lb.
a. If a pilot is randomly selected, find the probability that his weight is between 120 lb and 161 lb. The probability is approximately _____. (Round to four decimal places as needed.)
b. If 37 different pilots are randomly selected, find the probability that their mean weight is between 120 lb and 161 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 sample
of pilots 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 single
pilot is more important.
Solution :
Given that ,
mean = = 129
standard deviation = = 29.1
a) P(120 < x < 161 ) = P[(120 - 129)/ 29.1) < (x - ) / < (161 - 129) / 29.1 ) ]
= P(-0.31 < z < 1.10)
= P(z < 1.10 ) - P(z < -0.31)
Using z table,
= 0.8643 - 0.3783
= 0.4860
b) n = 37
= = 129
= / n = 29.1 / 37 = 4.78
P(120 < < 161)
= P[(120 - 129 ) / < ( - ) / < (161 - 129) / 4.78)]
= P(-1.88 < Z < 6.69)
= P(Z < 6.69) - P(Z < -1.88)
Using z table,
= 1 - 0.0301
= 0.9699
c) A. Part (a) because the seat performance for a single pilot is more important.