Question 4:
Let X be a random variable with the following probability distribution:
X -3 6 9
P(X=x) 1/6 1/2 1/3
If the function of random variable is defined as f(X) = (2X+1)2, find µg(X).
To find "\\mu_{g(X)}" where "g(x) = (2x+1)^2"
Here "\\mu_{g(X)}" means expected value of g(x)
"\\mu_{g(X)} = \\sum g(X) f(X) \\\\\n\nf(x) = (2x+1)^2 \\\\\n\nf(-3) = (2(-3) +1)^2 = (-5)^2 = 25 \\\\\n\nf(6) = (2 \\times 6 +1)^2 = 13^2 = 169 \\\\\n\nf(9) = (2 \\times 9 +1)^2 = 19^2= 361 \\\\\n\n\\mu_{g(X)} = 25 \\times \\frac{1}{6} + 169 \\times \\frac{1}{2} + 361 \\times \\frac{1}{3} \\\\\n\n= 4.16+84.5+120.33 \\\\\n\n= 208.99 \u2248209"
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