How to Use Interquartile Range to Identify Outliers
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In this video I explain how to use the interquartile range in order to identify possible outliers in a data set. This can be done using the interquartile range times 1.5 for moderate outliers, or times 3 for extreme outliers. This distance then creates a boundary below the 25th percentile and a boundary above the 75th percentile, creating a range for acceptable data points and excluding scores below and above those boundaries from analyses. ... https://www.youtube.com/watch?v=5ETv8-gwM0A
2023-02-16
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