Last Updated on October 31, 2023 by Jake Sheridan
In this tutorial, you will learn how to calculate standard errors in Google Sheets.
How evenly distributed values are in a dataset can be determined by looking at the standard error of the mean.
Once ready, we’ll get started by utilizing real-world examples to show you how to calculate standard errors in Google Sheets.
How To Calculate Standard Error In Google Sheets
Before we begin we will need a group of data to be used to calculate standard errors in Google Sheets.
Step 1
First, you need to have a clean and tidy group of data to work with.

Step 2
In this example, we want to calculate the standard error for the data group. To do that, we will need to insert this formula =STDEV.S(A3:A8) / SQRT(COUNT(A3:A8))

Step 3
Once you have pressed ‘Enter’, you will get a return for the standard error that is calculated by the formula.

Summary
That’s all there is to it. You are welcome to copy the example spreadsheet below to see how it is done. The most crucial lesson is to enjoy yourself while doing it.
Example Spreadsheet: Make a copy of the example spreadsheet
In this tutorial, I covered how to calculate standard errors in Google Sheets. Want more? Check out all the Google Sheets Tutorials.
More ways to use calculations in Google Sheets:
- Standard Deviation
- Average
- Time
- Variance
- Age
- Percentage
- Sum
- Difference
- P Value
- Z Score
- Dates
- Days Between Dates
- How To Find Slope
- Correlation
- Correlation Coefficient
- Find Difference Between Two Columns
- Find Highest Value
- Trendline Equation
- Find Slope
- Find Y Intercept
- Keep A Running Total
- Increase Cell Value By 1
- Regression
- How To Tally