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The proposition in probability theory known as the law of total expectation, the law of iterated expectations (LIE), Adam's law, the tower rule, and the smoothing property of conditional expectation, among other names, states that if X {\displaystyle X} is a random variable whose expected value E [ X ] {\displaystyle \operatorname {E} } is defined, and…
Proof in the general case, Informal proof & Example
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| Subject | Predicate | Object | Confidence | Src |
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| Law of total expectation | related to Example | Suppose | 0.60 | section |
| Law of total expectation | related to Example | Factory X's | 0.60 | section |
| Law of total expectation | related to Example | Y's | 0.60 | section |
| Law of total expectation | related to Example | It | 0.60 | section |
| Law of total expectation | related to Example | What | 0.60 | section |
| Law of total expectation | related to Example | Applying | 0.60 | section |
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