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  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/DSCI_500B_Essential_Probability_Theory_for_Data_Science_(Kuter)/04%3A_Continuous_Random_Variables/4.02%3A_Expected_Value_and_Variance_of_Continuous_Random_Variables
    The formula for the expected value of a continuous random variable is the continuous analog of the expected value of a discrete random variable, where instead of summing over all possible values we in...The formula for the expected value of a continuous random variable is the continuous analog of the expected value of a discrete random variable, where instead of summing over all possible values we integrate (recall Sections 3.4 & 3.5). For the variance of a continuous random variable, the definition is the same and we can still use the alternative formula given by Theorem 3.5.1, only we now integrate to calculate the value:

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