You can calculate variance in Excel using the VAR.S or VAR.P functions, depending on whether you're working with a sample or the entire population.
Here's a breakdown of how to calculate variance in Excel:
1. Understanding Variance
Variance measures the spread or dispersion of a set of data points around their mean (average). A higher variance indicates greater variability.
2. Choosing the Correct Variance Function
Excel offers two main variance functions:
- VAR.S(number1, [number2], ...): This function calculates the sample variance. Use it when your data represents a sample from a larger population.
- VAR.P(number1, [number2], ...): This function calculates the population variance. Use it when your data represents the entire population you are interested in.
3. Using the Variance Function in Excel
Here's how to use either function:
- Syntax:
=VAR.S(cell_range)
or=VAR.P(cell_range)
cell_range
: This is the range of cells containing the data you want to analyze. For example,A1:A10
would include cells A1 through A10.
Example:
Let's say you have the following data in cells B2 to B6: 10, 12, 14, 16, 18
- To calculate the sample variance, enter the following formula into a cell:
=VAR.S(B2:B6)
- To calculate the population variance, enter the following formula into a cell:
=VAR.P(B2:B6)
Excel will then calculate and display the variance.
4. Step-by-Step Instructions
- Open your Excel spreadsheet.
- Enter your data into a column or row.
- Select an empty cell where you want the variance to be displayed.
- Type the appropriate formula:
=VAR.S(cell_range)
for sample variance or=VAR.P(cell_range)
for population variance. Replacecell_range
with the actual range of your data (e.g.,A1:A20
). - Press Enter. The variance will be calculated and displayed in the cell.
5. Important Considerations
- Ensure your data contains numerical values. Non-numeric values can cause errors or be ignored by the function.
- Choose the correct function (VAR.S or VAR.P) based on whether you're working with a sample or the entire population. Using the wrong function will result in an incorrect variance calculation.