How to Use Interquartile Range to Identify Outliers

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.

[@abcdefgh5589]

Thank you so much for a very informative video.

[@PsychExamReview]

You're welcome!

[@Aram_sei_]

Im yet to watch your video. But before anything, thank you so mch for making videos on stats & research. I was the one to ask you for videos on these topics few years ago. You made it finally. Thanks professor-)) Love from India!

[@PsychExamReview]

My pleasure! It takes a lot of time putting these together but I'm really enjoying going into more detail on statistics and I think it's an area that can be challenging for many students. I hope these videos are helpful, let me know if you have any questions and thanks for commenting!