How to Use the NORMSDIST Function in Excel

Today, we will explore the NORMSDIST function in Excel and Google Sheets. This function calculates the standard normal cumulative distribution function for a specified value, essentially providing the probability that a value drawn from a standard normal distribution is less than or equal to that specified value.

Basic Syntax

The syntax for the NORMSDIST function is as follows:

=NORMSDIST(z)
  • z: The value for which you want to determine the probability in the standard normal distribution.

Example 1: Calculating Standard Normal Distribution Probability

Consider a scenario where you need to find the probability that a variable, which is part of a standard normal distribution, is less than or equal to 1.5.

Z Value Standard Normal Distribution Probability
1.5 =NORMSDIST(1.5)

In this example, entering =NORMSDIST(1.5) into a cell returns the probability of a randomly selected value from a standard normal distribution being less than or equal to 1.5.

Example 2: Using NORMSDIST for Z-test

The NORMSDIST function is also commonly applied in hypothesis testing, such as during a Z-test to compare a sample mean against a population mean. Here’s how you can use the function in this context:

Assume you have the following parameters: a sample mean of 72, a population mean of 70, a standard deviation of 5, and a sample size of 30. You wish to test if the sample mean significantly differs from the population mean with a 5% level of significance.

First, calculate the Z-score:

= (sample mean - population mean) / (standard deviation / SQRT(sample size))

Next, determine the critical Z-value with the NORMSDIST function:

= 1 - NORMSDIST(ABS(Z-score))

If the Z-value computed exceeds the critical Z-value, the null hypothesis can be rejected.

These examples illustrate how the NORMSDIST function can be utilized in Excel and Google Sheets for various statistical calculations and analyses.

More information: https://support.microsoft.com/en-us/office/normsdist-function-463369ea-0345-445d-802a-4ff0d6ce7cac

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 inverse of the normal cumulative distribution
Returns the 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