## How do you use VAR in Google Sheets?

VAR is a function in Google Sheets that can be used to calculate the variance of a set of data. To use VAR, you first need to enter the data that you want to calculate the variance for into a spreadsheet. Once the data is entered, you can then use the VAR function to calculate the variance. The VAR function takes two arguments: the first argument is the range of cells that contains the data that you want to calculate the variance for, and the second argument is the number of cells that you want to calculate the variance for. The VAR function will then calculate the variance of the data in the range of cells that you specify.

## What is the syntax of VAR in Google Sheets?

The syntax of VAR in Google Sheets is as follows: VAR(array_of_values) The VAR function returns the variance of the values in the array.

## What is an example of how to use VAR in Google Sheets?

The example below shows how to use VAR in Google Sheets. In this example, the VAR function is used to calculate the variance of the prices of a set of stocks over a period of time.

=VAR(A2:A9,B2:B9)

## When should you not use VAR in Google Sheets?

There are a few situations in which you should not use VAR in Google Sheets. One such instance is when you have a large data set with missing values. In this case, VAR will not be able to accurately calculate the variance of your data set. Additionally, VAR should not be used when your data set is not evenly distributed. This is because VAR is based on the assumption that your data set is randomly sampled. Lastly, VAR should not be used when you are looking for the standard deviation of your data set, as this is a different calculation.

## What are some similar formulae to VAR in Google Sheets?

There are a few similar formulae to VAR in Google Sheets. One is called STDEV.P, which is the standard deviation of a population. Another is called STDEV.S, which is the standard deviation of a sample. Another is called COVARIANCE.P, which is the population covariance. And finally, another is called COVARIANCE.S, which is the sample covariance.