The outlier may provide some important insights about your data, and if you remove it, those insights will be lost. If you’re not sure if an outlier results from an error, your first instinct shouldn’t be to remove it.
You might also choose to re-measure the data point if you can. If it’s obvious that an outlier results from a data collection error, it’s safe to remove it. Sometimes, outliers result from an error that occurred during the data collection process. Outliers can occur for different reasons. There isn’t a clear and fast rule about when you should (or shouldn’t) remove outliers from your data. Here are some frequently asked questions about the outlier formula. Type: IQR(mydata)įor practice, try using one or more of these programs to find the outliers from the examples we covered in the previous section. Use the IQR function to find the interquartile range. Use the summary function to find Q1 and Q3. Give the data a name like mydata.įor example, say your data consists of the following values (15, 21, 25, 29, 32, 33, 40, 41, 49, 72). Save your data using the assign operator, < -, and the combine function c(). You can use the Outlier formula in R using the following steps. Subtract Q1 from Q3 to get the interquartile range. Use the function stats(x1) to find Q1 and Q3 for your data. You can use the Outlier formula in Desmos using the following steps.Ĭreate a table and input your data in the x1 column.
To find the third quartile use the formula =QUARTILE(Range 3)įor example, if your data is in cells A1 through A10, you would type =QUARTLE(A2:A11, 3)Ĭalculate the upper boundary: Q3 + (1.5)(IQR)Ĭalculate the lower boundary: Q1 - (1.5)(IQR) To find the first quartile use the formula =QUARTILE(Data Range 1)įor example, if your data is in cells A2 through A11, you would type =QUARTLE(A2:A11, 1) You can use the Outlier formula in Excel or Google sheets using the following steps. The difference in the calculations won’t be enough to alter your results significantly.
EXTREME FORMULA SOFTWARE
Some of the software below uses different approaches to calculating quartiles than what we used in the examples above. Note that there are several accepted ways to calculate quartiles.
EXTREME FORMULA HOW TO
While it’s important to know what the outlier formula is and how to find outliers by hand, more often than not, you will use statistical software to identify outliers.įollow these steps to use the outlier formula in Excel, Google Sheets, Desmos, or R. Explore course Calculate Outliers Using Statistical Software
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