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Nominated for deletion; see Wikipedia:Articles for deletion/Cumulative density function. |
see deletion debate; the main grounds for keeping this dab seem to be that it clears up misunderstandings amongst students. If that is its aim, it should probably include a rudimentary explanation of the misunderstanding, so I've added one. Please do feel free to improve it! |
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* [[cumulative distribution function]].
The two words ''cumulative'' and ''density'' contradict each other. Given a graph of the probability density function
<math display="block"> y={P}(x)</math>
<math>y</math> is the probability of finding just the particular value of the variable corresponding to <math>x</math> on the <math>x</math>-axis. It knows nothing about the probabilities to be found at other values of <math>x</math>, and therefore cannot be ''cumulative''. The cumulative density function, by contrast is an accumulation of the probabilities of finding every value of <math>x</math> up to and including the current value indicated on the <math>x</math>-axis.
{{disambig}}
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