In this article, we will learn How to use the VAR function in Excel.
What is variance of a list of numbers?
VAR function is a statistical function which returns the numerical variance value for the array of data given in as input. In simple words, get the estimated variation of population of the data in Excel using the VAR or related function. The VARPA function considers text values as 0, Logic values TRUE and FALSE as 1 and 0 respectively. Use a VARA or newer VARP function to ignore all other values except numbers.
VAR Function in Excel
VAR function is a statistical function which returns the numerical variance value for the array of data given in as input.
VAR Function Syntax:
number : number or array given as cell reference
Different VAR function in Excel and its usage.
|Name||Data set||Text and logicals|
All of these might be confusing to understand. Let's understand how to use the function using an example. Here Here we have a array of numbers need to find the variance
Use the formula to get the variance for the range
Variance for the following data is 659.74.
Excel VAR function is not used popularly. Excel replaced the use of VAR function with VAR.S is used to get the variance of the data.
Usage of VAR function or related VAR function
Here we have some numbers to test the VARPA function in Excel.
Use the formula:
Here the array of values is given as cell reference. You can also input values as numbers.
Here the function doesn't ignore blank cells, TRUE and FALSE logic values and text values. The VARPA function returns 310.5586 as population variance. The VARA function returns 331.2625 as sample variance considering text values as 0, TRUE value as 1 and FALSE value as 0 whereas VAR function returns 125.8333 as sample data ignoring all other variable types except numbers.
What is the Difference in VAR, VARS, VAR.S (all are same) and VARPA or VAR.P.
The denominatore in VAR, VARS,VAR.S is n-1. Where n is the number of observations. Where VAR.P has denominator n.
VAR.S is used for population data. VAR.P is used for population data.
Here are some observational notes shown below.
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