Assume that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm Hg) and the population standard deviation is 5.6. Assume the variable is normally distributed. If a sample of 30 adults is randomly selected, find the probability that the sample mean will be between 120-mm and 121.8-mm Hg.
Solution:
Given that
mean μ = 120 standard deviation σ = 5.6
P(120 < X < 121.8) = P(X < 121.8) - P(X < 120)
= P(Z < (121.8-120)/5.6) - P(Z < (120-120)/5.6)
= P(Z < 0.32) - P(Z < 0)
= 0.625516 - 0.500000 = 0.125516
mean μ = 120 standard deviation σ = 5.6, n = 30
P(120 < X < 121.8) = P(X < 121.8) - P(X < 120)
= P(Z < (121.8-120)/(5.6/sqrt(30)) - P(Z <
(120-120)/(5.6/sqrt(30))
= P(Z < 1.76) - P(Z < 0)
= 0.960796 - 0.500000 = 0.460796
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