Symmetric, right skewed (positively), and left skewed (negatively) distributions

[@felixbayuo3608]

Good work. Understanding this thing was really challenging to me

[@mathematicalmuscleman]

Very useful for my Biostatistics and Epidemiology assignments. Thanks for the video.

[@dmcguckian]

Happy to help!

[@emma147]

You Couldn’t be more clear, if you tried. Thank you so much!

[@sunematierata2827]

great thankz

[@rinreborn7364]

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

[@ankurajay3933]

Finally someone explained this without beating around the bush

[@jedidaho.a.ejohnson2490]

I am so grateful for this. Was having such a hard time before I found this.

[@dmcguckian]

I’m glad it helped you!

[@Tweetogreggieb59]

Two thumbs up 👍 👍, Good stuff 👏, A Trader can truly benefit by incorporating this knowledge into their Tradering Strategy. It's info. that changes outcomes, when used with awareness & understanding. Video Recommended, to like mined individuals, friends & family.✌😎

[@antonidanielhilonga6309]

Im enjoy the online class

[@mubashrazahoor63]

Crystal clear

[@mossy_nothinghappened3136]

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.

[@dmcguckian]

I’m happy to hear that! Keep learning!

[@gripwiz]

Thanks for the video, love it!

[@dmcguckian]

You’re welcome! Thanks for watching

[@fatimadirani6224]

That was so clear like I was so confused at first but now everything is clear. Thank you so much!!

[@jonrandall638]

You all prolly dont care at all but does anybody know a method to log back into an instagram account? I was dumb lost the login password. I appreciate any tips you can give me

[@thatchercollin1508]

@Jon Randall Instablaster :)

[@jonrandall638]

@Thatcher Collin thanks so much for your reply. I found the site through google and im waiting for the hacking stuff atm. Looks like it's gonna take a while so I will reply here later with my results.

[@jonrandall638]

@Thatcher Collin it did the trick and I now got access to my account again. I'm so happy! Thanks so much you really help me out !

[@thatchercollin1508]

@Jon Randall happy to help xD

[@Lucky-hm3qh]

Perfectly perfect 👍

[@dmcguckian]

Thank you 🙏

[@remaalmutiry6835]

Thank you so much ❤❤❤

[@dmcguckian]

You’re welcome!

[@brobinson8614]

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

[@alaaalsalahi7168]

Wow thanks i searched a lot of videos to explain this but finally i found the best!it’s you!!

[@RohanBanerjee0]

Really, really beautifully explained, sir! Thank you!!

[@Darth_manick]

Thanks for the explanation Dane!

[@dmcguckian]

You’re welcome!

[@debbiehyun1097]

Thank you explaining this concept easy to understand.

[@dodgingdurangos924]

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?

[@alexz7047]

Thank you very much this is very informational in a short amount of time.

[@dmcguckian]

Happy to help

[@Baldwinthefourth-1176]

Absolutely brilliant explanation, thank you!

[@MabsootEG]

You have helped me a lot . You made my day , really thank you Love you from Egypt

[@dmcguckian]

Glad I was able to help!!

[@ManarTheScientists]

THANK YOU SO SO SO SO SO MUCH

[@dmcguckian]

You’re welcome!

[@sitihumairamohdnawi3020]

is it possible if the median is on the same line as the mode?

[@dmcguckian]

Yes, that’s the case in many symmetric distributions of data.

[@lowandslow398]

Very useful for my alevel psychology

[@gurleen021]

Watched so many videos and FINALLY understood this after watching yours. Thank you :)

[@dmcguckian]

Im happy to hear that!

[@ashwinneogi]

This was such a wonderful explanation. Crisp and to the point. I Really Appreciate it!

[@dmcguckian]

Thank you!

[@jo0odoo]

A dash of communism with my biostat

[@rinreborn7364]

thanks

[@adriangreco8249]

Ashfield boys

[@uzzwaldas7129]

Thanks, a lot of confusion is clear.

[@dmcguckian]

Glad it was helpful!

[@mrabea8336]

thank you so much!

[@franklintello9702]

Bro I struggle to understand this concept for sometime and it finally makes sense after watching this like what 5 min video

[@kathrinemajabastiasbech661]

I finally understood, thank you. Amazingly clearly explained.

[@dmcguckian]

That’s great to hear!

[@vinayj5305]

Thank you for such an easy yet complete explanation.

[@hannahwilson7329]

Great clear, concise explanation. Thank you!

[@dmcguckian]

Thank you!

[@amola_hany]

ok now this man here saved my life

[@dmcguckian]

Happy to help!

[@lougoore8118]

You make this concept so intuitive. Thanks

[@sammcmurrin1242]

what if your median is smaller than your Mean and Mode? So it creates a bump in the curve?

[@dmcguckian]

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.

[@sidrarafiq4323]

Thank you

[@dmcguckian]

You’re welcome

[@veronicaisip6678]

What if there is no mode?

[@dmcguckian]

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.