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 For a discrete random variable, σx=x values (xμx)p(x)\text { For a discrete random variable, } \sigma _ { x } = \sum _ { x \text { values } } \left( x - \mu _ { x } \right) \cdot p ( x )

Question 2

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 For a discrete random variable, σx=x values (xμx)p(x)\text { For a discrete random variable, } \sigma _ { x } = \sum _ { x \text { values } } \left( x - \mu _ { x } \right) \cdot p ( x )

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