## How do you use CONFIDENCE.NORM in Google Sheets?

The CONFIDENCE.NORM function in Google Sheets allows you to calculate the confidence interval for a population mean using a normal distribution. The function takes three inputs - the mean of the population, the standard deviation of the population, and the sample size - and outputs the lower and upper bounds of the confidence interval.

## What is the syntax of CONFIDENCE.NORM in Google Sheets?

The syntax of CONFIDENCE.NORM in Google Sheets is as follows: =CONFIDENCE.NORM(x,alpha) where "x" is the data set and "alpha" is the confidence level. This function will return the standard normal distribution for the data set "x" with the given confidence level "alpha".

## What is an example of how to use CONFIDENCE.NORM in Google Sheets?

One example of how to use the CONFIDENCE.NORM function in Google Sheets would be to calculate a confidence interval for a population mean. This can be done by inputting the following formula into a cell: =CONFIDENCE.NORM(x,sigma,degrees_of_freedom)

## When should you not use CONFIDENCE.NORM in Google Sheets?

There are a few occasions when you should not use the CONFIDENCE.NORM function in Google Sheets. One such occasion is when you do not have a normal distribution of data. Additionally, you should not use the function if you are trying to calculate the standard error of the mean.

## What are some similar formulae to CONFIDENCE.NORM in Google Sheets?

CONFIDENCE.NORM is a formula used to calculate the confidence interval for a normal distribution. Other similar formulae in Google Sheets include:

-Z.TEST: This formula calculates the z-test for a normal distribution.

-CHISQ.DIST: This formula calculates the chi-squared distribution for a given number of degrees of freedom.

-NORM.INV: This formula calculates the inverse of the normal cumulative distribution function.

-NORM.S.DIST: This formula calculates the standard deviation of a normal distribution.

-NORM.S.INV: This formula calculates the inverse of the standard normal cumulative distribution function.