For a sequence of real numbers x1, x2, ... ,Xn, suppose random variable X takes on these n values with equal probability 1/n. Then the first and second moment of X are defined as follows: EX? x? EX n n The Variance of X is defined as the average value of the squared deviations from the mean: Var(X) (x; – EX)² Expand the square (x – EX)² and manipulate the summations to arrive at the following formula: Var(X) = EX² – (EX)² Show also that > (x; - EX)2 = > x,² – n(EX)² (=1 1=1
For a sequence of real numbers x1, x2, ... ,Xn, suppose random variable X takes on these n values with equal probability 1/n. Then the first and second moment of X are defined as follows: EX? x? EX n n The Variance of X is defined as the average value of the squared deviations from the mean: Var(X) (x; – EX)² Expand the square (x – EX)² and manipulate the summations to arrive at the following formula: Var(X) = EX² – (EX)² Show also that > (x; - EX)2 = > x,² – n(EX)² (=1 1=1
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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