Mathematics · important
Linearity of expectation for JEE
Baye's theorem, probability distribution of a random variable
Formula
\(E(aX+b)=aE(X)+b\) and more generally \(E(X\pm Y)=E(X)\pm E(Y)\)
Variables: \(a,b\): constants, \(X,Y\): random variables.
Conditions: No independence required for linearity.
Expectation of transformed or combined variables.