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Law of Total Expectation Explained by yooga palanisamy is a document available to read on EtoBox.

The cumulative distribution function (CDF) for a random variable X is the function F(a) = P(X ≤ a) that gives the probability that X is less than or equal to any value a. The expectation or expected value of a discrete random variable X with probability mass function p(x) is the average of the possible values of X, weighted by their respective probabilities p(x). Variance measures how far a random variable

Author

yooga palanisamy

Language

EN