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#reading-9-probability-concepts

Question

Variance of a random variable formula

Answer

\(σ^2(X) = {E{[X - E(X)]^2}}\)

Tags

#reading-9-probability-concepts

Question

Variance of a random variable formula

Answer

?

Tags

#reading-9-probability-concepts

Question

Variance of a random variable formula

Answer

\(σ^2(X) = {E{[X - E(X)]^2}}\)

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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

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

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
---|---|---|---|---|---|---|---|

repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |

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