NORMINV

NORMINV(probability, mean, standard_dev)

Returns the inverse of the probability distribution function for a normal distribution.

probabilityThe probability associated with the distribution.
meanThe arithmetic mean of the distribution.
standard_devThe standard deviation of the distribution.

REMARKS
* This function is only available for backwards compatibility and should not be used.
* NORM.INV was added in Excel 2010 to replace this function.
* The normal distribution is a continuous distribution
* If "probability" < 0, then #NUM! is returned.
* If "probability" > 1, then #NUM! is returned.
* If "probability" is not numeric, then #VALUE! is returned.
* If "mean" is not numeric, then #VALUE! is returned.
* If "standard_dev" = 0, then #NUM! is returned.
* If "standard_dev" is not numeric, then #VALUE! is returned.
* This function uses an iterative technique for calculating the function.
* Given a "probability" value, this function iterates until the result is accurate to within (plus or minust) 3x10^-7.
* If this function does not converge after 100 iterations, then #N/A is returned.
* You can use the NORM.DIST function to return the probability distribution function OR the cumulative probability function for a standard normal distribution.
* You can use the NORM.S.DIST function to return the probability distribution function for a standard normal distribution.
* You can use the NORM.S.INV function to return the inverse of the probability distribution function for a standard normal distribution.
* For the Microsoft documentation refer to support.microsoft.com
* For the Google documentation refer to support.google.com

 A
1=NORMINV(99%, 0, 1) = 2.326
2=NORMINV(50%, 0, 1) = 0.0
3=NORMINV(25%, 0, 1) = -0.674
4=NORMINV(5%, 0, 1) = -1.645
5=NORMINV(0.908789, 40, 1.5) = 42
6=NORMINV(0.87, 0, 1) = 1.126
7=NORMINV(NORMDIST(0.87, 0, 1, TRUE), 0, 1) = 0.87
8=NORMINV(100%, 0, 1) = #NUM!
9=NORMINV(1, 0, 1) = #NUM!
10=NORMINV(-1, 40, 1.5) = #NUM!
11=NORMINV(2, 40, 1.5) = #NUM!
12=NORMINV(0.908789, "some text", 1.5) = #VALUE!


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