A normally distributed variable, x, has a standard are deviation of 3.9. Also 71.37% of the data are larger than 249.8. Find the mean of x.
Denote the normally distributed variable by \(Y\) and the standard normal distribution by another random variable \(Z\). You want to find \(x\) such that \[P(Y>249.8)=P\left(\frac{Y-x}{3.9}>\frac{249.8-x}{3.9}\right)=P\left(Z>\frac{249.8-x}{3.9}\right)=0.7137\] Refer to a \(z\)-table (like the one here: ` http://www.stat.ufl.edu/~athienit/Tables/Ztable.pdf `). This table gives you left-tail probabilities, but we're dealing with a right-tail value. In this table, we have \(0.7137\) associated with a left-tail \(z\) score between \(0.56\) and \(0.57\). Let's call it the midpoint \(0.565\). To make this a right-tail value, we simply take advantage of the fact that the distribution is symmetric, so we would use \(z=-0.565\). In other words, \(P(Z>-0.565)=0.7137\), which means you can find the mean \(x\) by solving \[\frac{249.8-x}{3.9}=-0.565\] Here's a plot showing that this is a close approximation for the actual \(z\) score: http://www.wolframalpha.com/input/?i=P%28Z%3E-0.565%29
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