In this statistics video lecture, we introduce the mean, median, mode, and other measures of "center" for a numeric variable. 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. 👉🏼How to use R to calculate mean, SD and Frequencies? (Video Tutorial: bit.ly/2kgnK7r) If Like to support us you can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like 👍🏼 or write us a review! Either way We Thank You!
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.
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.
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.
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
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! :)
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...
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?
Answering based on what I have studied till now: Outliers help in anomaly detection, so outlier should be removal decision is based on the problem statement you are working upon. However, noise is to be removed always.
im using something called "light board" or sometimes its called "glass board" at The University of British Columbia i have access to this as a faculty member. here is a short video on how it works if you were curious: ubcstudios.ubc.ca/do-it-yourself/lightboard/
![Statistics Mean, Median, Mode & Outliers in Data - [6-8-11]](http://i.ytimg.com/vi/EA3JjvB8Z_U/mqdefault.jpg)
In this statistics video lecture, we introduce the mean, median, mode, and other measures of "center" for a numeric variable. 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. 👉🏼How to use R to calculate mean, SD and Frequencies? (Video Tutorial: bit.ly/2kgnK7r) If Like to support us you can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like 👍🏼 or write us a review! Either way We Thank You!
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.
Great job on breaking down abstract concepts! You have made this so much easier for me to understand. You are a talented lecturer.
Thanks! Glad you’re finding our videos helpful :)
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.
great to hear, glad you found them helpful!
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.
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
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! :)
Thank you, Mister. Perfect explanation.
Sir you made statistics very easy for me, very usefull course, Even in paid courses we cannot see such kind of explanation,
What a wonderful person you are! Thank you very much.
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...
Absolutely helpful class! Thanks!
Thanks, I love the last part when your kid is talking. 😊
I have a question about the median. What u mean when it cut the data in half? mean total value of 2 half would be equal or count of data in half?
Qué buen video Mike!
Your amazing👌👌👌
this is awesome buddy....
You are very welcome!
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?
Answering based on what I have studied till now:
Outliers help in anomaly detection, so outlier should be removal decision is based on the problem statement you are working upon.
However, noise is to be removed always.
Why median is not sensitive to outliers? If you remove the outliers and recalculate the median, it could shift upwards or downwards..
Best stuff !
How do you make these videos? What sort of equippment? Thank you
im using something called "light board" or sometimes its called "glass board" at The University of British Columbia i have access to this as a faculty member. here is a short video on how it works if you were curious: ubcstudios.ubc.ca/do-it-yourself/lightboard/
Thank you, really helpful. But I smoke, and I am getting freaked out every now and then watching the statistics.
super
finally that little guy showed up