The population mean and standard deviation are given below. Find the indicated probability and determine whether a sample mean in the given range below would be considered unusual. If convenient, use technology to find the probability. For a sample of n=40, find the probability of a sample mean being less than 12751 or greater than 12754, when mean = 12751 and standard deviation = 1.6.
A. For the given sample, the probability of a sample mean being less than 12751 or greater than 12754 is ____. (Round to four decimal places as needed.)
B. Would the given sample mean be considered unusual?
a. The sample mean would not be considered unusual because there is a probability greater than 0.05 of the sample mean being within this range.
b. The sample mean would be considered unusual because there is a probability less than 0.05 of the sample mean being within this range.
c. The sample mean would be considered unusual because there is a probability greater than 0.05 of the sample mean being within this range.
d. The sample mean would not be considered unusual because there is a probability less than 0.05 of the sample mean being within this range.
A)
Given,
= 12751 , = 1.6
Using central limit theorem,
P( < x) = P(Z < x - / ( / sqrt(n) ) )
So,
P( < 12751 OR > 12754 ) = 1 - P(12751 < < 12754)
Now ,
P(12751 < < 12754) = P( < 12754 ) - P( < 12751)
= P(Z < 12754 - 12751 / (1.6 / sqrt(40) ) ) - P(Z < 12751 - 12751 / (1.6 / sqrt(40) ) )
= P(Z < 11.86) - P(Z < 0)
= 1 - 0.5
= 0.5
Therefore,
P( < 12751 OR > 12754 ) = 1 - 0.5
= 0.5
B)
The sample mean would not be considered unusual because there is a probability greater than 0.05 of the sample
mean being within this range.
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