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NORMSINV

Definition

Returns the value of the inverse standard normal distribution function for a specified value.

Sample Usage

Syntax

NORMSINV(x)

  • x - The input to the inverse standard normal distribution function.

Notes

  • The "standard" normal distribution function is the normal distribution function with mean of 0 and variance (and therefore standard deviation) of 1.

See Also

WEIBULL: Returns the value of the Weibull distribution function (or Weibull cumulative distribution function) for a specified shape and scale.

POISSON: Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean.

NORMSDIST: Returns the value of the standard normal cumulative distribution function for a specified value.

NORMINV: Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation.

NORMDIST: Returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.

NEGBINOMDIST: Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials.

LOGNORMDIST: Returns the value of the log-normal cumulative distribution with given mean and standard deviation at a specified value.

LOGINV: Returns the value of the inverse log-normal cumulative distribution with given mean and standard deviation at a specified value.

EXPONDIST: Returns the value of the exponential distribution function with a specified lambda at a specified value.

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BINOMDIST: Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws.

 

 

In order to use the NORMSINV formula, start with your edited Excellentable

 

A
B
1
NORMSINV Formula
Value
2
NORMSINV(0.9)
1.281551566
3
NORMSINV(0.35)
-0.385320466


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