- #1

Satwant

- 8

- 0

Find the PDF of Y if X is a Gaussian PDF:

fx(x) = (1e-x^2/2)/(2pi)^1/2 ; -infnity<x<+infinity

Express your answer in terms of CDF of X gven by

Fi(x) = Integral -infnty to + infnity((1e-x^2/2)/(2pi)^1/2)

b) Sketch both the PDF, fY(y) and CDF, FY(y) for randon variable Y