To estimate the mean height μμ of male students on your campus, you will measure an SRS of students. Heights of people of the same sex and similar ages are close to Normal. You know from government data that the standard deviation of the heights of young men is about 2.8 inches. Suppose that (unknown to you) the mean height of all male students is 70 inches.
(a) If you choose one student at random, what is the probability
that he is between 65 and 70 inches tall?
(b) You measure 25 students. What is the standard deviation of the
sampling distribution of their average height
x¯¯¯x¯?
(c) What is the probability that the mean height of your sample is
between 65 and 70 inches?
(a)
(b)
(c)
Solution :
(a)
P(65 < x < 70) = P[(65 - 70)/ 2.8) < (x - ) / < (70 - 70) / 2.8) ]
= P(-1.79 < z < 0)
= P(z < 0) - P(z < -1.79)
= 0.4633
(b)
= / n = 2.8 / 5 = 0.56
(c)
= P[(65 - 70) / 0.56 < ( - ) / < (70 - 70) / 0.56)]
= P(-8.93 < Z < 0)
= P(Z < 0) - P(Z < 8.93)
= 0.5 -0
= 0.5
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