Chebyshev's Inequality : P(

Normal Distribution: X ~ N (( , (2 ) A continuous r.v. X is said to have a normal distribution with parameters ( and (2 where -( < ( < ( and ( > 0. The pdf of X is . It is symmetric and bell-shaped. The standard normal random variable has (=0 and (2 =1. Z ~ N(0,1) The cdf of Z is =P(Z(z). Appendix table A.3 can be used to compute . ................
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