EXPONDIST

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

Sample Usage

EXPONDIST(4,0.5,FALSE)

EXPONDIST(A2,A3,A4)

Syntax

EXPONDIST(x, lambda, cumulative)

  • x - The input to the exponential distribution function.

    • If cumulative is TRUE then EXPONDIST returns the cumulative probability of all values up to x.
  • lambda - The lambda to specify the exponential distribution function.

  • cumulative - Whether to use the exponential cumulative distribution.

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.

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

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: 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.

HYPGEOMDIST: Calculates the probability of drawing a certain number of successes in a certain number of tries given a population of a certain size containing a certain number of successes, without replacement of draws.

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

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