If the difference between the expectation of the square of a random variable…
2011
If the difference between the expectation of the square of a random variable \(\left(E\left[X^2\right]\right)\) and the square of the expectation of the random variable \(\left(E\left[X\right]\right)^2\) is denoted by \(R\), then
- A.
\(R = 0\) - B.
\(R < 0\) - C.
\(R \geq 0\) - D.
\(R > 0\)
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Correct answer: C
