The distribution of prices for home sales in a certain New Jersey county is skewed to the right with a mean of $290,000 and a standard deviation of $145,000. Suppose Mrs. McCann selects a simple random sample of 100 home sales from this (very large) population. What is the probability that the mean of the sample is greater than $325,000

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Answer:

The probability that the mean of the sample is greater than $325,000

[tex]P( X > 3,25,000) = P( Z >2.413) = 0.008[/tex]

Step-by-step explanation:

Step(i):-

Given the mean of the Population( )= $290,000

Standard deviation of the Population = $145,000

Given the size of the sample 'n' = 100

Given 'X⁻'  be a random variable in Normal distribution

Let   X⁻ = 325,000

[tex]Z = \frac{x^{-}-mean }{\frac{S.D}{\sqrt{n} } } = \frac{325000-290000}{\frac{145000}{\sqrt{100} } } = 2.413[/tex]

Step(ii):-

The probability that the mean of the sample is greater than $325,000

[tex]P( X > 3,25,000) = P( Z >2.413)[/tex]

                           = 0.5 - A(2.413)

                           = 0.5 - 0.4920

                           = 0.008

Final answer:-

The probability that the mean of the sample is greater than $325,000

[tex]P( X > 3,25,000) = P( Z >2.413) = 0.008[/tex]

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