Understanding Mahalanobis Distance including Probabilities and Critical Values using SPSS

This video explains Mahalanobis distance using SPSS, including calculating probabilities and critical values. Mahalanobis distances are used to identify multivariate outliers.

[@JakeSlater3]

Thank you for this clear and helpful video.

[@TimiLUW]

Thank you so much for the video!!!!

[@sweendog52]

hello - why are the degrees of freedom the same as the number of variables? Why not one less? Thanks so much!

[@tha1ne]

Hi Todd, thank you for this tutorial it was really helpful! Just wondering, is the standard for probability normally .001? I know in psychology, alpha is usually .05 or .01... is this unrelated or can the standard for probability be .05 or .01?

[@alunelove]

Thanks for this video Grande. What if I have more than 10 variables?

[@KomlaP]

It seems there is not end to the appearance of outliers. Once you eliminate a set of outliers using MD, other outliers show up upon furhter analysis. Is it realistic to expect archival data to be in the ideal form for analysis?

[@nicehirda]

Dear Sir, Can you give a example related to genetic diversity analysis using D2 statistics...