Suppose that it is reasonable to assume that a Grand Am’s MPG has a normal pdf with a mean of 24.3 and a standard deviation of 0.6. Let X denote the MPG of a Grand Am.
a. Find the probability that a randomly selected Grand Am gets less than 25 but more than 21 MPG.
b. Find the probability that a randomly selected 16 Grand Ams get less than 25 but more than 21 MPG on average
a) P(X < A) = P(Z < (A - mean)/standard deviation)
Mean = 24.3
Standard deviation = 0.6
P(a randomly selected Grand Am gets less than 25 but more than 21 MPG) = P(21 < X < 25)
= P(X < 25) - P(X < 21)
= P(Z < (25 - 24.3)/0.6) - P(Z < (21 - 24.3)/0.6)
= P(Z < 1.17) - P(Z < -5.5)
= 0.8790 - 0
= 0.8790
b) For sampling distribution of mean,
Sample mean = 24.3
Standard error =
=
= 0.15
P( < A) = P(Z < (A - mean)/standard error)
P(a randomly selected Grand Am gets less than 25 but more than 21 MPG) = P(21 < X < 25)
= P( < 25) - P( < 21)
= P(Z < (25 - 24.3)/0.15) - P(Z < (21 - 24.3)/0.15)
= P(Z < 4.67) - P(Z < -22)
= 1 - 0
= 1
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