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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For a sequence of real numbers x1, x2, ... xn, suppose random variable X takes on thesen values with
equal probability 1/n. Then the first and second moment of X are defined as follows:
EX =
n.
EX?
x?
n.
i=1
The Variance of X is defined as the average value of the squared deviations from the mean:
Var(X) = => (x; – EX)2
i=1
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
i=1
i=1
Transcribed Image Text:Question For a sequence of real numbers x1, x2, ... xn, suppose random variable X takes on thesen values with equal probability 1/n. Then the first and second moment of X are defined as follows: EX = n. EX? x? n. i=1 The Variance of X is defined as the average value of the squared deviations from the mean: Var(X) = => (x; – EX)2 i=1 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 i=1 i=1
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