# How to Use NORMSDIST in Google Sheets in 2020?

NORMSDISTReturns the value of the standard normal cumulative distribution function for a specified value.

Sample Usage

NORMSDIST(2.4)

NORMSDIST(A2)

Syntax

NORMSDIST(x)

x – The input to the standard normal cumulative 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.

ZTEST: Returns the one-tailed P-value of a Z-test with standard distribution.

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.

NORMSINV: Returns the value of the inverse standard normal 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: The NORMDIST function 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.

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.

Examples