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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

  1. $R=0$
  2. $R<0$
  3. $R\geq 0$
  4. $R > 0$
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2 Comments

Catch is that Variance can never be negative.
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5
Unless we are dealing with numbers with imaginary parts!
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5 Answers

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To get an idea about variance of a random variable.