The probability distribution of random variable X is defined as follows:   X 0 1 2 3 4 Probability 0 0.3 0.1 0.3 0.3 We transform X using function g(X) =4X2 + 2. What is expected value and standard deviation of g(X), that is, what is E[g(X)] and σ[g(x)]?

Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter14: Counting And Probability
Section14.2: Probability
Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...
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The probability distribution of random variable X is defined as follows:

 

X

0

1

2

3

4

Probability

0

0.3

0.1

0.3

0.3

  1. We transform X using function g(X) =4X2 + 2. What is expected value and standard deviation of g(X), that is, what is E[g(X)] and σ[g(x)]?
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