Example – 2: Suppose a continuous random variable X has the following probability density e 4, x > 0 function f (x) as follows : f(x) = Find the mean and variance. 0, otherwise

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I need to understand the integral part please explain it 

Example – 2: Suppose a continuous random variable X has the following probability density
e, x > 0
е 4, х
function f (x) as follows : f(x) =
4
Find the mean and variance.
(0, otherwise
Solution :
Now E (X) = Sx•f(x) dx = S xei dx = 4 and
%D
1
E(X²) = [x? · f (x) dx =
Therefore, Mean : µ = E(X) = 4 and Variance : o2 = E(X²) – [E(X)]² = 32 – (4)² = 16.
[° x² . = e¯ dx = 32.
Transcribed Image Text:Example – 2: Suppose a continuous random variable X has the following probability density e, x > 0 е 4, х function f (x) as follows : f(x) = 4 Find the mean and variance. (0, otherwise Solution : Now E (X) = Sx•f(x) dx = S xei dx = 4 and %D 1 E(X²) = [x? · f (x) dx = Therefore, Mean : µ = E(X) = 4 and Variance : o2 = E(X²) – [E(X)]² = 32 – (4)² = 16. [° x² . = e¯ dx = 32.
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