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Subject 6. Expected Value, Variance, and Standard Deviation of a Random Variable ake more sense when viewed over the long run.
The variance of a random variable is the expected value (the probability-weighted average) of squared deviations from the random variable's expected value.
<span>σ 2 (X) = E{[X - E(X)] 2 }
Variance is a number greater than or equal to 0.
If it is 0, there is no dispersion or risk. The outcome is certain. Variance greater than 0 indicates dispersi
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