## Example

Estimate E(X) and E(Y) for the data given in Example 4. We have seen that x -2 0 2 3

Therefore,

= (—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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