Question:medium

For the following probability distribution of a random variable \(X\), the Expected value and Variance of \(X\) are respectively
\(X = x\)\(1\)\(2\)\(3\)
\(P(X = x)\)\(1/5\)\(2/5\)\(2/5\)

Show Hint

Use E(X) = sum x p and Var(X) = E(X squared) - E(X) squared.
Updated On: Oct 1, 2026
  • \(\frac{27}{5},\frac{27}{25}\)
  • \(\frac{11}{5},\frac{14}{25}\)
  • \(\frac{4}{5},\frac{14}{25}\)
  • \(\frac{7}{5},\frac{11}{25}\)
Show Solution

The Correct Option is B

Solution and Explanation

Step 1: Approach
Use the definition of variance as the average squared deviation from the mean.

Step 2: Mean
$\mu=\dfrac{11}{5}=2.2$.

Step 3: Deviations
$(1-2.2)^2=1.44$, $(2-2.2)^2=0.04$, $(3-2.2)^2=0.64$.

Step 4: Weighted average
$\sigma^2=0.2(1.44)+0.4(0.04)+0.4(0.64)=0.288+0.016+0.256=0.56=\dfrac{14}{25}$.

Step 5: Answer
Option (B).

Final Answer:
The mean is 11/5 and the variance is 14/25, option (B). \[ \boxed{\frac{11}{5},\ \frac{14}{25}} \]
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