If you are working with a large dataset then knowing its standard deviation comes in handy as it will let you know the variability in the given dataset. Basically, you get to see the degree of asymmetry in your dataset and how much the data deviates from its mean value.
Here are a couple of ways to calculate standard error quickly
Standard error lets you understand the variation between the population mean and the sample mean.
You can use the general formula method to calculate the standard error.
Else, you may check out the second method which is quite easy to calculate the standard error.
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You can also calculate standard error in MS Excel. This will allow you to know how accurate a sample mean is in terms of the true population mean. Here, we will give you a guide on how to calculate standard error in Excel quickly. Let us get right into it.
Why is calculating standard error important in Excel?
The standard deviation allows you to understand the variation in your sample. There are two varieties of standard deviation:
- The standard deviation of a sample: In this, you get to calculate the standard error of a certain dataset or a selected sample of data. For example, you have a chart of the marks of all students in a class. Then you can use the standard deviation of a sample to know the deviation in the marks.
- The standard deviation of a population: In this, you calculate the standard error of all entries in a table. In the above example, you can use the standard deviation of a population to know the deviation for all students.
On the other hand, a standard error lets you know the variability across the samples of the population. Using standard error you understand how a sample’s mean is accurate in terms of the true population mean.
So, to understand standard error simply remember that a standard error is the standard deviation from the population mean. It can be calculated by dividing the standard deviation of a sample by the square root of the sample size.
How to calculate standard error or deviation in MS Excel quickly?
1. Use the formula
- Create a sample data or open your workbook.
- Click on a cell where you would like your standard error to appear.
- Click on the formula bar next to the fx symbol.
- Type the below formula in the formula bar. =STDEV(
- Drag and select the range of cells in your sample data. For example, in our case, it would become =STDEV(C2:C10
- Close the bracket for the formula. =STDEV(C2:C10)
- Add / symbol to the STDEV formula. =STDEV(C2:C10)/
- Apply the square root formula to the STDEV formula. =STDEV(C2:C10)/SQRT(
- Use the COUNT function with the STDEV formula. =STDEV(C2:C10)/SQRT(COUNT(
- Drag the range of cells that are part of your sample data. Close the SQRT bracket. =STDEV(C2:C10)/SQRT(COUNT(C2:C10))
- Press Enter to get the standard error.
2. Use Data Analysis ToolPak
- Open your workbook.
- Click on File.
- Select Options from the left side pane.
- Select Add-ins in the Options window.
- Select Analysis ToolPaK.
- Click the Go button at the bottom.
- Check the box for Analysis ToolPak and hit OK.
- Click on the Data tab.
- The Data Analysis Toolpak will be added to your Excel toolbar.
- Click on the Data Analysis button.
- Select Descriptive Statistics and click OK.
- Select the range of cells from your sample.
- If your data has column headers then choose Labels in first row option.
- Under Output options, select New Worksheet to get the result in a new worksheet in the same workbook, or select New Workbook to get the result in a fresh workbook.
- Check the Summary statistics option.
- Click OK.
- You will get the result and you will see the Standard Error.
That is it from us in this guide on how you can calculate standard error in MS Excel quickly.
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Let us know in the comments below, which one of the above two solutions you use to calculate standard error in Excel.
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