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Transforming a standard normal random variable to the general normal random variable with mean mu, and standard deviation sigma
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guesssing it would be something like X ~ N[10,45] Find P(x<55)... something like that then you would do P[Z∗σ+μ < X < Z∗σ+μ] something like that?
if \(Z\sim N(0,1)\) then \(X=\sigma Z+\mu\) has a normal distribution with mean \(\mu\) and sd \(\sigma\)
mean of 10, and sd of 45, i assume is the notation up there right?
to convert to the Z, if im reading it right, im never sure .... N(10,45) needs to be modified to equate with N(0,1) N(10-10,45/45) works, might not be kosher, but it works :) so for any given X we have to subtract 10 and divide by 45 to equate it to Z
|dw:1322831521913:dw|
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