# NORM.DIST

### Definition

Returns the normal distribution for the specified mean and standard deviation. This function has a very wide range of applications in statistics, including hypothesis testing.

### Sample Usage

### Syntax

NORM.DIST(x,mean,standard_dev,cumulative)

The NORM.DIST function syntax has the following arguments:

X Required. The value for which you want the distribution.

Mean Required. The arithmetic mean of the distribution.

Standard_dev Required. The standard deviation of the distribution.

Cumulative Required. A logical value that determines the form of the function. If cumulative is TRUE, NORM.DIST returns the cumulative distribution function; if FALSE, it returns the probability mass function.

### Remarks

If mean or standard_dev is nonnumeric, NORM.DIST returns the #VALUE! error value.

If standard_dev ≤ 0, NORM.DIST returns the #NUM! error value.

If mean = 0, standard_dev = 1, and cumulative = TRUE, NORM.DIST returns the standard normal distribution, NORM.S.DIST.

The equation for the normal density function (cumulative = FALSE) is:

When cumulative = TRUE, the formula is the integral from negative infinity to x of the given formula.

### In order to use the NORM.DIST formula, start with your edited Excellentable

### Then type in the NORM.DIST formula in the area you would like to display the outcome:

### By adding the values you would like to calculate the NORM.DIST formula for, Excellentable will generate the outcome: