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- Q-function abstract "In statistics, the Q-function is the tail probability of the standard normal distribution. In other words, Q(x) is the probability that a normal (Gaussian) random variable will obtain a value larger than x standard deviations above the mean.If the underlying random variable is y, then the proper argument to the tail probability is derived as:which expresses the number of standard deviations away from the mean.Other definitions of the Q-function, all of which are simple transformations of the normal cumulative distribution function, are also used occasionally.Because of its relation to the cumulative distribution function of the normal distribution, the Q-function can also be expressed in terms of the error function, which is an important function in applied mathematics and physics.".
- Q-function thumbnail Q-function.png?width=300.
- Q-function wikiPageID "14225958".
- Q-function wikiPageRevisionID "604205929".
- Q-function hasPhotoCollection Q-function.
- Q-function subject Category:Articles_containing_proofs.
- Q-function subject Category:Functions_related_to_probability_distributions.
- Q-function subject Category:Normal_distribution.
- Q-function subject Category:Special_functions.
- Q-function type Abstraction100002137.
- Q-function type Function113783816.
- Q-function type FunctionsRelatedToProbabilityDistributions.
- Q-function type MathematicalRelation113783581.
- Q-function type Relation100031921.
- Q-function type SpecialFunctions.
- Q-function comment "In statistics, the Q-function is the tail probability of the standard normal distribution.".
- Q-function label "Q-function".
- Q-function sameAs m.05t0yb6.
- Q-function sameAs Q533036.
- Q-function sameAs Q533036.
- Q-function sameAs Q-function.
- Q-function wasDerivedFrom Q-function?oldid=604205929.
- Q-function depiction Q-function.png.
- Q-function isPrimaryTopicOf Q-function.
