Estimate E(X) and E(Y) for the data given in Example 4. We have seen that x -2 0 2 3
= (—2)(0.27) + (0)(0.12) + (2)(0.26) + (3)(0.35) = 1.03
APPENDIX A: A REVIEW OF SOME STATISTICAL CONCEPTS 879
EXAMPLE 11 (Continued)
The expected value of a continuous rv is defined as
The only difference between this case and the expected value of a discrete rv is that we replace the summation symbol by the integral symbol.
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