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In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution function of X {\displaystyle X} , evaluated at x {\displaystyle x} , is the probability that X {\displaystyle X} will take a value less than or equal to x {\displaystyle x} .
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displaystyle distribution function random cumulative probability cdf variable leq operatorname continuous given infty variables used example int value equal discrete
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cumulative distribution function | related to Complementary cumulative distribution function (tail distribution) | Sometimes | 0.60 | section |
| Cumulative distribution function | related to Complementary cumulative distribution function (tail distribution) | This | 0.60 | section |
| Cumulative distribution function | related to Complementary cumulative distribution function (tail distribution) | Thus | 0.60 | section |
| Cumulative distribution function | related to Complex random variable | The | 0.60 | section |
| Cumulative distribution function | related to Complex random variable | However | 0.60 | section |
| Cumulative distribution function | related to Complex random variable | Re | 0.60 | section |
| Cumulative distribution function | related to Complex random variable | Im | 0.60 | section |
| Cumulative distribution function | related to Complex random variable | Therefore | 0.60 | section |
| Cumulative distribution function | related to Definition | The | 0.60 | section |
| Cumulative distribution function | related to Definition | Eq | 0.60 | section |
| Cumulative distribution function | related to Definition for two random variables | When | 0.60 | section |
| Cumulative distribution function | related to Definition for two random variables | For | 0.60 | section |
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