In: Statistics and Probability
Let x be a continuous random variable that has a normal
distribution with μ = 60 and σ = 12. Assuming
n ≤ 0.05N, where n = sample size and
N = population size, find the probability that the sample
mean, x¯, for a random sample of 24 taken from this population will
be between 54.91 and 61.79.
Let x be a continuous random variable that has a normal
distribution with μ = 60 and σ = 12. Assuming
n ≤ 0.05N, where n = sample size and
N = population size,
(a) Compute the mean, μx¯ of x¯ .
(b) Compute the standard deviation σx¯ of x¯ .
Solution :
Given that,
mean = = 60
standard deviation = = 12
n = 24
a) = = 60
b) = / n = 12 / 24 = 2.45
c) P(54.91 < < 61.79)
= P[(54.91 - 60) / 2.45 < ( - ) / < (61.79 - 60) / 2.45)]
= P(-2.08 < Z < 0.73)
= P(Z < 0.73) - P(Z < -2.08)
Using z table,
= 0.7673 - 0.0188
= 0.7485