Cumulative distribution function
Definition
Let be a real random variable on a probability space . The cumulative distribution function of is the function with More generally, the cumulative distribution function of a probability distribution on is .
Remarks
For , . is nondecreasing and right-continuous, with limit at and limit at . Conversely, each function with these properties is the cumulative distribution function of some distribution. The jump of at is . For a fair die, for , for , and for .
Explanations
L1 human
The cumulative distribution function adds up the probability from the left up to the point . Its graph starts at height on the far left, never goes down, and reaches height on the far right.
What this node needs for W2
- edge instance_of in: one example (0 of 1)
- edge not_instance_of in: one non-example that fails one clause (0 of 1)
The writing levels say how complete the text of a node is. They do not measure its truth.
What depends on this
62 nodes use this node, directly or through other nodes.
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- Memorylessness 0ZAZZ34WQS
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Sources
What links here
Used by
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- The cumulative distribution function determines the distribution 0JEVZAFDY6
- Limit of the cumulative distribution function at infinity 0RJ5TZH6G0
- The characteristic function determines the distribution 0T8BYAFEXX
- Monotonicity of the cumulative distribution function 0XD22PBMWA
- Tail sum formula for expectation 0Y6QNF1J49