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Applied Mathematics · Ch 6 — Probability Distribution

Mathematical Expectation of Discrete Probability Distribution

6.3

Mathematical Expectation of Discrete Probability Distribution

The mean, as a measure of central tendency, gives a rough sense of the middle or average value taken by a random variable across an experiment. For a random variable, this idea is formalised as mathematical expectation, also called the expected value.

Suppose a discrete random variable XX can take finite values x1,x2,x3,…,xnx_1, x_2, x_3, \dots, x_n with respective probabilities p1,p2,p3,…,pnp_1, p_2, p_3, \dots, p_n, where the probabilities sum to 11. The mathematical expectation of XX is the weighted average of its possible values, each value weighted by the probability of it occurring.

E(X)=x1p1+x2p2+x3p3+⋯+xnpn=∑i=1nxipiE(X) = x_1p_1 + x_2p_2 + x_3p_3 + \cdots + x_np_n = \displaystyle\sum_{i=1}^{n} x_i p_i …