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

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

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

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

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

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