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Expectation variance covariance standard deviation |
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Answer» These summary STATISTICS have the same meaning for continuous random variables: The expected value µ = E(X) is a measure of location or central tendency. The standard deviation σ is a measure of the spread or scale. THEVARIANCE σ2 = VAR(X) is the square of the standard deviation. |
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