Mean, Median and Mode in Statistics | Statistics Tutorial | MarinStatsLectures

In this statistics video lecture, we introduce the mean, median, mode, and other measures of "center" for a numeric variable. One measure is not necessarily 'better' than the other, they simply try to convey similar information in slightly different ways, each with their respective pros and cons. They each focus on certain features while ignoring others. How do you define which country did the "best" in the Olympics? Is it the country that won the most gold medals? or the most medals in total? or do you give weight to gold, silver, and bronze, and use the totality of the weights to determine the "best" performing country? Similarly, here how do we define the "center" of a distribution or a "typical value". These different measures are simply different ways to determine the center, each with their own pros and cons. These likely aren't new ideas to you, although this video may help you think of them in new ways, as well as get used to some of the statistical notation that gets used.

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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

#statistics #rprogramming

[entropyz]

Your analogy to finding the balance point for the mean is spot on. The mean formula is also the center of gravity formula, which finds the balance point of a system.

[frugalbee]

Great job on breaking down abstract concepts! You have made this so much easier for me to understand. You are a talented lecturer.

[yutangchen]

I'm a MSc student learning Bioinformatics, I found these series of videos were super-helpful to my study. Really appreciated Mike and his team's work. Thanks for sharing your knowledge to the whole world.

[abhipradhan]

Marin, you are more than a Statistics Ninja . .:) These videos are really well done and concepts are well explained. I used to be good at Mathematics during School and my Graduation ..but later in the profession completely lost touch . .now for some reason ..I landed on your videos and they are really good ..not just for a recap ..for anyone to learn as new .. God bless you. Continue with imparting knowledge and reaching out to a wider audience. Your efforts are appreciated. I can sense these videos are not easy to create as well. You have put in a lot of thoughts in covering (or rather communicating) the concepts in short time and also keeping the videos fun to watch. Subscribed your channel and enjoying the content. Thanks again. Good work.

[bhanudesai]

All concepts are explained Wonderfully and smoothly in the flow. You make subject interesting. I forgot that I was studying statistics
Thank you very much

[ventsislav]

Thank you, Mister. Perfect explanation.

[ifindev]

Very awesome concept about "balance point" there. I never understood it clearly based on our stats lectures and books. But now after seeing your video, it's clear that the "balance point" thing you mentioned is the same concept as "moment of data" discussed is most stats books. Thank you for clearing up my confusion! :)

[sureshgeddada]

Sir you made statistics very easy for me, very usefull course, Even in paid courses we cannot see such kind of explanation,

[nikolaizaicev]

Thank you for the videos, they are exactly what I was looking for, for god knows how long...
I had two classes in a university, and I got an A in both of them, but to be honest, I did not understood some topics well, exactly due to the problem of too strong focus on manual calculations, instead of applications and concepts understanding. It is just silly, in our time, nobody in his sense will ever use the manual calculations anymore, but they force us to do them, even thougt most of us forget those formulas the next day after the test. Just ridiculous...

[atesafarzin]

Thanks, I love the last part when your kid is talking. 😊

[jisanhasnat]

What a wonderful person you are! Thank you very much.

[prasanthcet]

Why median is not sensitive to outliers? If you remove the outliers and recalculate the median, it could shift upwards or downwards..

[rezkyilhamsaputra]

thank you very much for the explanation sir, i have one question, should outliers or extreme values be removed from the data before proceeding to the analysis?

[imanbanerjee]

Thank you, really helpful. But I smoke, and I am getting freaked out every now and then watching the statistics.

[azad]

How do you make these videos? What sort of equippment? Thank you