Calculate values and areas for the normal probability density function and the normal cumulative distribution function.

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

- 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

`=NORM.DIST(A2,A3,A4,TRUE)`

The NORM.DIST function is used to calculate the cumulative distribution function (CDF) or probability mass function (PMF) of a given set of terms. This will return the cumulative distribution function for the terms in A2, A3, and A4.

`=NORM.DIST(A2,A3,A4,FALSE)`

This will return the probability mass function for the terms in the given order.

The NORM.DIST function is a useful tool in statistics, as it calculates the normal distribution. It is used in hypothesis testing and has many applications.

- The
**NORM.DIST**function returns values for the normal probability density function (PDF) and the normal cumulative distribution function (CDF) - The output of the PDF and CDF distributions are drawn using the bell-shaped curve

The NORM.DIST function calculates the probability that a variable falls below or at a specified value. It calculates the normal probability density function or cumulative normal distribution function for a set of parameters.

The NORM.DIST function is used for stock market analysis. It quantifies risk and return by calculating the mean and standard deviation for returns and risk.

The NORM.DIST function refers to any normal distribution.

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