A population has a mean of 400 and a standard deviation of 40. Suppose a sample of size 125 is selected and x is used to estimate μ.
a. What is the probability that the sample mean will be within +/- 9 of the population mean (to 4 decimals)?
b. What is the probability that the sample mean will be within +/- 10 of the population mean (to 4 decimals)?
Solution :
Given that,
mean = = 400
standard deviation = = 40
n = 125
= = 400
= / n = 40 / 125 = 3.78
a) P(391< < 409 )
= P[(391 - 400) / 3.78 < ( - ) / < (409 - 400) / 3.78 )]
= P(- 2.38 < Z < 2.38)
= P(Z < 2.38) - P(Z <- 2.38 )
Using z table,
= 0.9913 - 0.0087
= 0.9826
n = 125
= = 400
= / n = 40 / 125 = 3.78
b) P(390< < 410 )
= P[(390 - 400) / 3.78 < ( - ) / < (410 - 400) / 3.78 )]
= P(- 2.65 < Z < 2.65)
= P(Z < 2.65) - P(Z <- 2.65 )
Using z table,
= 0.9960 - 0.0040
= 0.9920
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