Understanding Mean, Median, Mode (and Why They Matter)

🎓 *Full Course HERE 👉:* https://sds.courses/ds-ba-statistics Mean, median, and mode—three essential ways to understand the center of your data. But when your distribution is skewed, do you know which one to trust? In this clear and practical tutorial, we’ll walk you through what each of these terms means, how they behave in skewed data, and when to use which. You'll learn how to calculate each one, why duplicates matter in finding the median, and how outliers can wreck your mean but leave your median untouched. We’ll also reveal a clever alphabetical trick that makes it easy to remember the correct order of mean, median, and mode based on whether your data is skewed left or right. *Course Link HERE:* https://sds.courses/ds-ba-statistics *You can also find us here:* - Website: https://www.superdatascience.com/ - Facebook: https://www.facebook.com/groups/superdatascience - Twitter: https://twitter.com/superdatasci - LinkedIn: https://www.linkedin.com/company/superdatascience/ *Contact us at:* [email protected] *Chapters:* 00:00 - Intro to Mean, Median, Mode 00:56 - Why Distributions Matter 01:25 - Calculating the Mean 01:44 - Understanding the Median 03:30 - Why Duplicates Are Included 04:59 - Median vs. Outliers 06:52 - Finding the Mode 09:25 - Mean, Median, Mode in Skewed Data 10:36 - Visual Trick to Remember the Order #MeanMedianMode #DataScience #Statistics #Skewness #Outliers #DataDistributions #StatisticalThinking #StatsMadeSimple #UnderstandTheMean #MedianNotMean #DataAnalysisTips #SuperDataScience #SkewedData #DescriptiveStats #ModeExplained