NORMSINV
Calculates the inverse of the standard normal cumulative distribution to find the z-score for a given probability with a mean of 0 and a standard deviation of 1.
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Calculates the inverse of the standard normal cumulative distribution to find the z-score for a given probability with a mean of 0 and a standard deviation of 1.
The NORMSINV function returns the inverse of the standard normal cumulative distribution. It assumes a distribution with a mean of 0 and a standard deviation of 1.
NORMSINV(probability)The NORMSINV function syntax has the following required arguments:
probability - A probability corresponding to the normal distribution. Required.
NORMSINV(0.90)
// Returns 1.28You can use the NORMSINV function to determine the number of standard deviations a value is from the mean. This is particularly useful for creating standardized benchmarks or z-scores across different datasets to compare them on a level playing field.

Q1. What is the difference between NORMINV and NORMSINV?
NORMINV allows you to specify any mean and standard deviation for your dataset.
NORMSINV is a specialized version that always uses a mean of 0 and a standard deviation of 1.
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