How to Use the NORM.INV Function in Excel

Today, we’ll explore the NORM.INV function in Excel and Google Sheets, a powerful tool used to find the inverse of the normal cumulative distribution for specified mean and standard deviation values. Essentially, it calculates the value corresponding to a given probability in a normal distribution.

Basic Syntax

The structure for the NORM.INV function is:

NORM.INV(probability, mean, standard_dev)
  • Probability: The probability corresponding to the desired point in the distribution.
  • Mean: The mean (average) of the distribution.
  • Standard_dev: The standard deviation, which measures the dispersion of the data points from the mean.

Examples of Usage

To better understand how the NORM.INV function works, let’s review some practical examples:

Example 1: Finding the Inverse of a Standard Normal Distribution

Consider we need to determine the data value associated with a cumulative probability of 0.75 in a standard normal distribution, which has a mean (μ) of 0 and a standard deviation (σ) of 1.

Value Formula Result
Inverse =NORM.INV(0.75, 0, 1) 0.67448975

The value corresponding to a cumulative probability of 0.75 in a standard normal distribution is approximately 0.6745.

Example 2: Finding the Inverse for a Non-Standard Normal Distribution

For a non-standard normal distribution with a mean of 10 and a standard deviation of 2, let’s find the value associated with a probability of 0.95.

Value Formula Result
Inverse =NORM.INV(0.95, 10, 2) 13.28970725

In this non-standard normal distribution, the value that corresponds to a cumulative probability of 0.95 is approximately 13.2897.

These examples illustrate how the NORM.INV function can be effectively used to compute inverses of both standard and non-standard normal distributions in Excel and Google Sheets. Always ensure that the values for probability, mean, and standard deviation are accurately entered to achieve correct results.

More information: https://support.microsoft.com/en-us/office/norm-inv-function-54b30935-fee7-493c-bedb-2278a9db7e13

Other functions
Returns the beta cumulative distribution function
Returns the inverse of the cumulative distribution function for a specified beta distribution
Returns the individual term binomial distribution probability
Returns the one-tailed probability of the chi-squared distribution
Returns the inverse of the one-tailed probability of the chi-squared distribution
Returns the test for independence
Returns the confidence interval for a population mean
Returns covariance, the average of the products of paired deviations
Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value
Returns the exponential distribution
Returns the F probability distribution
Rounds a number down, toward zero
Returns the result of an F-test
Returns the gamma distribution
Returns the inverse of the gamma cumulative distribution
Returns the hypergeometric distribution
Returns the inverse of the lognormal cumulative distribution
Returns the cumulative lognormal distribution
Returns the most common value in a data set
Returns the negative binomial distribution
Returns the normal cumulative distribution
Returns the standard normal cumulative distribution
Returns the inverse of the standard normal cumulative distribution
Returns the k-th percentile of values in a range
Returns the percentage rank of a value in a data set
Returns the Poisson distribution
Returns the quartile of a data set
Returns the rank of a number in a list of numbers
Estimates standard deviation based on a sample
Calculates standard deviation based on the entire population
Returns the Student's t-distribution
Returns the inverse of the Student's t-distribution
Returns the probability associated with a Student's t-test
Estimates variance based on a sample
Calculates variance based on the entire population
Calculates variance based on the entire population, including numbers, text, and logical values
Returns the one-tailed probability-value of a z-test