σ 2= E(X −µ) = Z ∞ −∞ (x−µ)2f(x)dx (13) 2 6 4 2 0 2 4 6 8 0 005 01 015 02 025 03 035 x f(x) Figure 11 Gaussian or Normal pdf, N(2,152) The mean, or the expected value of the variable, is the centroid of the pdf In this particular case of Gaussian pdf, the mean is also the point at which the pdf is maximum The variance σ2 is a measure of the dispersion of theI ` G ` ` 4 s G e U r ^ X e H e H ` s N V h M q J V ^ e l L U Q g \ Z J g U e ^ V j ` p Q J U q V Q U e M e X J d L J h 3 3& µ Z À o } Ç } µ o v v o Ç o l o o Z } µ P Z Ç v Z v P v o o Ç À o µ v P } µ , Z } } µ v Ç } Á v P P µ o o Ç v o v À ( l X Title Microsoft Word PAWS 2_ outline Author User Created Date 1/4/18 PM Solved The Electric Field Of An Infinite Line Of Positive Charge Chegg Com Line Q[ "L"O \¦µÈ¢