Answer:
The probability that the mean of the sample is greater than $325,000
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
![Z = (x^(-)-mean )/((S.D)/(√(n) ) ) = (325000-290000)/((145000)/(√(100) ) ) = 2.413](https://img.qammunity.org/2022/formulas/mathematics/high-school/y8ki6k47y0ffbjfwcdb540qzd5lufk57o1.png)
Step(ii):-
The probability that the mean of the sample is greater than $325,000
![P( X > 3,25,000) = P( Z >2.413)](https://img.qammunity.org/2022/formulas/mathematics/high-school/7p60erikf7mnmkxph87m73fztzdatnw2fv.png)
= 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