Independent solution

How to solve this Sampling Distributions question

Setup

Setup

Write the exact sampling distribution of the average of n independent benefit amounts.

XˉN ⁣(2475,2502n)\bar X\sim N\!\left(2475,\frac{250^2}{n}\right)

Model

Model

Standardize the stated upper boundary and impose the required one-sided probability.

Pr(Xˉ2500)=Φ ⁣(25002475250/n)\Pr(\bar X\le2500)=\Phi\!\left(\frac{2500-2475}{250/\sqrt n}\right)
=Φ(0.1n)0.99=\Phi(0.1\sqrt n)\ge0.99

Compute

Compute

Invert the standard-normal CDF and solve the resulting inequality.

0.1nΦ1(0.99)=2.3263478740.1\sqrt n\ge \Phi^{-1}(0.99)=2.326347874\ldots
n(2.3263478740.1)2=541.1894431n\ge\left(\frac{2.326347874\ldots}{0.1}\right)^2=541.1894431\ldots

Answer

Answer

Round upward to preserve the probability requirement.

542(B)\boxed{542\quad\text{(B)}}