Symmetric, right skewed (positively), and left skewed (negatively) distributions
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- Опубликовано: 15 июл 2024
- In this video, we discuss the location of the mean, median, and mode in symmetric, right skewed (positively), and left skewed (negatively) distributions.
This video is part of the content available for free at www.statsprofessor.com/
You Couldn’t be more clear, if you tried. Thank you so much!
I am so grateful for this. Was having such a hard time before I found this.
I’m glad it helped you!
Thank you for such an easy yet complete explanation.
Finally someone explained this without beating around the bush
I was doing higher math than in my grade level so it was getting harder until I couldn't understand it anymore. I found this video and I was so thankful and I understand it better.
I’m happy to hear that! Keep learning!
Good work. Understanding this thing was really challenging to me
That was so clear like I was so confused at first but now everything is clear. Thank you so much!!
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Really, really beautifully explained, sir! Thank you!!
I always mixed them up since im always confused but using the billionaire as the right skewed make me understand in an instant. like literally lol
Crystal clear
You make this concept so intuitive. Thanks
Thank you explaining this concept easy to understand.
Watched so many videos and FINALLY understood this after watching yours. Thank you :)
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Glad I was able to help!!
Bro I struggle to understand this concept for sometime and it finally makes sense after watching this like what 5 min video
Love the way everything was explained, especially the mean being described as the balancing point. That really puts a fine point these concepts.
btw, What happens to the empirical rule and probabilities implied by the bell curve when there's skewness? How do read it then?
Very useful for my Biostatistics and Epidemiology assignments. Thanks for the video.
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Thanks for the explanation Dane!
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You’re welcome! Thanks for watching
I finally understood, thank you. Amazingly clearly explained.
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Great clear, concise explanation. Thank you!
Thank you!
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Not once was I ever taught it this way in school, I remember being told about mean mode median but with no images to get it
thanks
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You’re welcome
is it possible if the median is on the same line as the mode?
Yes, that’s the case in many symmetric distributions of data.
what if your median is smaller than your Mean and Mode? So it creates a bump in the curve?
I can’t think of a real life distribution with that structure, but it’s possible to draw one up using a simulator. However, it would not be a classic left or right skewed distribution. In general, you would need a long skinny tail on the right side to separate the mean and median, but you would also need the most repeated value to be something greater than the median. That would probably require a cliff after the median to enable a steep drop off after. Perhaps the mean would be the same as the mode in that case. Either way, the main idea to remember is that in a asymmetric distribution, the mean will move to the side of the curve where the more extreme values are.
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What if there is no mode?
In a distribution, there may not be a mode (the uniform distribution for example). In the uniform distribution, the mean and median are the same because it is symmetric.
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