Be sure to enter one data point on each line. Then copy and paste your data into the right side. Read more about Grubbs' test and its interpretation.įirst, choose the significance level (alpha) where an outlier will be detected. The test statistic corresponds to a p-value that represents the likelihood of seeing that outlier assuming the underlying data is Gaussian. It is based on a normal distribution and a test statistic (Z) that is calculated from the most extreme data point. Grubbs' Test, or the extreme studentized deviant (ESD) method, is a simple technique to quantify outliers in your study. That's quite a range, and it could be anywhere in between, too! Use our outlier checklist to help decide what to do in your case. They could be as simple as data entry errors or the outliers could themselves be an important research finding. It's best to think about outliers as points of interest, and what to do with them isn't straightforward. There are many reasons for outliers, and they can show up in any kind of study. It could be very large or very small, but it is abnormally different from most of the other values in your dataset. An outlier is a data point on the extreme end of your dataset.
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