Difference between revisions of "CumNormal"
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[[category:Analytic Distribution Functions]] | [[category:Analytic Distribution Functions]] | ||
− | [[Category:Doc Status | + | [[Category:Doc Status C]] <!-- For Lumina use, do not change --> |
− | + | = CumNormal(X,mean,stddev) = | |
+ | |||
+ | Returns the cumulative probability | ||
+ | p = Pr[x ≤ X] | ||
+ | for a [[Normal|normal distribution]] with a given mean and standard deviation. Mean and stddev are optional and default to ''Mean = 0'', ''stddev = 1''. | ||
+ | CumNormal(1) - CumNormal( -1 ) → .683 | ||
+ | i.e., 68.3% of the area under a normal distribution is contained | ||
+ | within one standard deviation of the mean. | ||
+ | |||
+ | = Library = | ||
+ | |||
+ | Advanced math | ||
+ | |||
+ | = See Also = | ||
+ | |||
+ | * [[CumNormalInv]] -- the inverse cumulative density | ||
+ | * [[Normal]] -- The normal distribution | ||
+ | * [[Erf]] -- The closely related error function |
Revision as of 21:21, 10 July 2007
CumNormal(X,mean,stddev)
Returns the cumulative probability
p = Pr[x ≤ X]
for a normal distribution with a given mean and standard deviation. Mean and stddev are optional and default to Mean = 0, stddev = 1.
CumNormal(1) - CumNormal( -1 ) → .683
i.e., 68.3% of the area under a normal distribution is contained within one standard deviation of the mean.
Library
Advanced math
See Also
- CumNormalInv -- the inverse cumulative density
- Normal -- The normal distribution
- Erf -- The closely related error function
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