What are "moments" in statistics? An intuitive video! 

Dude. This video is everything. I'm a visual learner and this one video has helped me understand this concept better than years of statistics study and multiple textbooks. Thank you!

I googled for days someone to explain me moments. I finally understand. Don't go to university to learn moments, come here.

I watched the video and was shocked at how well this subject was explained. There are so many parts of math out there that can be explained so easily but frustratingly are not. Thank you so much for being a light at the end of the tunnel.

Ok! after 2 years of studying mathematics I understood moments in this 16 min video!

You're teaching me everything I am supposed to be learning in my graduate level statistics classes. You have no idea how helpful your channel is. Thank you!

Your videos are a gift. I love how you connect with the intuitive approach. Memorising equations at uni without understanding the logic behind them is so dry and the info doesn’t go in easily. You are so kind and generous to explain everything. I love the visuals and your jokes and your calm voice and the speed of your speech. Omg so good.

You're giving me new hope for statistics. I used to get scared when I heard the word moments, sd, kurtosis, etc. Really appreciate your work.

You are such a great instructor who can explain complex concept in a very crystal clear and simple way. I've followed all of your Descriptive Statistics series videos. They make me understand the statistics concepts which is crucial for my AI study much easier. Thank you!

Yup, I finally understood moments.

I have about 9 of your videos in a queue to watch. Much appreciated for those who are new kids on the block of statistics. Before I delve in, I have to share my 'moments ' in statistics. My distribution ranges from confused, bamboozled, lost, slightly frustrated to very frustrated. There was an outlier of "rage' but he was dismissed from his duties and totally wiped from the data. He wasn't a team player. I had to regroup and form a calm plan along with a 'safe word'. Skewness has a new meaning for me and it settles somewhere on the negative. My scatter graph is now under control and I hope it goes to form a strong, positive relationship when studying more statistics. The causation of my mood is definitely the variable of my blood pressure 'v' sitting too long at a desk looking at a pc screen while my cat scratches at the door wanting to know who is holding his Mum to ransom while wanting to find out how this correlation relates to whether he will be feed... or ever see me again. Many thanks for all the help, I am nearly at the end of the race at Uni in NZ, at the tender age of 52.... with wanting to start studying psychology. This has been a rather wild , compact ride of 5 weeks of Stats and Probs at entry level. We are now having peace talks over my Casio fx - 82 AU calculator and settling into a more comfortable relationship. He presses my buttons - I press his. It's all above board. By the way my 'safe words' are Shift/CLR (9)/All (3)/(=)/AC. This will erase all previous memories if need be. Thanks for enlightening me and my animals who watch these informative videos😄

After lots of study, watching videos, reading books finally you did better all these. Thank you

The moment these moments got clicked in my brain, that moment I understood these moments perfectly Thank You for this wonderful video 💯👌👌

Your excellent videos help save a lot of time when reading the textbook afterward and not having to read some explanations again in strive to grasp them.

Greatest Explanation ever! We humans need to visualise things if we want to understand them better, and you made it possible in quite a wonderful way! Thanks a lot!

Even for an FRM candidate, this is the best explanation I found. Great method and excellent video ..many thanks

Even if I'm not good at maths and all that logical physics stuff... You explained it so clearly.. that I understood the concept... Thanks a lot.. for such a helpful video.

The best intuition explanation for moments period!

Finally a really good and clear explanation! Thank you so much!

You made my life easier! You really teach complicated stuff in an easy way to understand

Dude thank you, the janky Monty Carlo book I got just threw all these definitions and formula at me in the first chapter and I had no idea what the hell a Rth moment meant but this makes sense.

Amazed, great job, something I was struggling since my undergrad days

Your videos are really great ! Very well done, clarifying and fun. Thank you very much.

Your video letted me know the natural meaning of some statistical concept.It really healpful.Thx!!

What a great and helpful video! Never understood moments until that!

Thank you! Trying to combine your videos with "Introduction to Probability" by Blitzstein.

Thank you so very much for uploading this!!!! So incredibly helpful. You are a gem of a human

That was an amazing explanation and presentation. Thank you and keep up the good work !!

I finally understood this concept, all thanks to you!

wish i had a teacher like you! you are diamond

Thank you very much for this video! It is very educational and well-arranged! :)

You rock! Amazing video. I finally got a clear understanding. Thanks!!

Actually, I'm a student of EEE. I had a statistics course in my almost running out semester. Everything I studied about statistics in this sem was from a book thinking that there are no such quality videos describing statistics so meaningfully like the other engineering topics on RU-vid. I even never searched this subject on yt. Although I studied this topic approx. 3 months ago, today I've learned what moments actually say to us.

You are SIGMA...the way you summed up all the concept in just few minutes....Thank you!

Amazing video. Adding to it, 8:55 you need not to do Average Squared "Distance", you may easily get it by Actual(u2)-Standard(u2), which in your case is (229.8)-(225)=4.8 . Amazing Explanation. Thanks.

Such a beautiful explanation. Thank you so much!

Thank you so much! Your explanation is easy to understand.

Dude, l understood very well moment. your explanation really sorted and effective 👍

Thanks to these videos, I might be able to make it through Casella & Berger, at long last!

Hi, this video really helped me understand the moments. I have a couple of questions though. First, why do we call them moments? Second, what does it mean by moment condition(s)?

Thank you very much. This is exactly what I needed. You are a genius.

Very intuitive and straightforward! Ty!

You sir, deserve a hug Edit: Can you do characteristic functions next?

Its really helpful to understand the moments, thanks a lot

Amazing explanation! Thank you so much!

something so fundamental made hard to understand in lecture but easy here. thanks!

Thank you so so much! I finally understand what is moment!

Absolutely marvelous job on this video. Thank you very much

Subscribed because of this video, thank you

good way of explanation .please also help to explain the application of higher moments

Thank you sooo much for explaining this in this way

Thank you for these great videos ❣️

Superb Video.... Couldn't have been explained better...

Thank you for this wonderful explanation!

This video made my day! Thanks!

Thanks your video is really awesome...you have makes everything crystal clear... Now , i do request to you please make a lecture video for inference topic "COMPLETENESS" and UMVUE It will be great helpful....

This is awesome. An actually understandable explanation. This has really helped me think through the physical meaning of moments. I'm wondering though, how you get decimal moments? In cloud physics a particle size distribution can be described with moments, and e.g. mass-weighted particle fall speed is proportional to M3.5 - but what does that actually represent physically?

Amazing video mate

omg, i am finishing my PhD without knowing this before. And Thanks algorithm sends this to me! I finally understand what is going on!

This is really helpful, thank you!

this is a brilliant explanation, thanks!

AMAZING EXPLANATION!!! thanks a lot.

that was a hell lot of help, thank you so much.

I cannot express enough how magnificently clear and elegant is this format of explaining all of these concepts in statistics, that books and professor cannot convey clearly, who make them seem vaguely related.

Wowww amazing video 😍😍. This is how one must teach the statistics 😍

Got the concept cleared 😁

Well explained! Thank you.

I have stats test today. Yesterday I barely understood the variance. Now i'm confident I'll at least not fail

great explanation. so what do they mean when they say generalized moments? is it all four put together?

Thank you for providing this!

Well explained! Thank you, a lot!

well explained and thanks much for your explanation

wow sir... you are amazing

Amazing, really appreciate this

Could this be considered as analogous to moments about an axis of objects in Physics? Because there moments kind of represent how mass is spread about an axis

Could you please make a video on the moment generating functions?

Beautiful teacher😊

Thank you so much for the video!! :)

suuuper clear! love you

Fantastic video.

Thank you so much ! Clearly explained !

Amazing video!

To achieve the purpose of "netting out the effect of the previous moment" come up as a subtraction of the first moment, but in subsequent moments, netting out the previous moment comes up as dividing by the standard deviation to the corresponding power?

you are love in the sky of statistics ❤

your video should be standard material for all universities.

Thank you, you are very clear and logical :)

Nice Explanation! But One query, When measures like variance and Std dev are present to describe the spread, why this term "moments" are again defined? ( just to be able to compute skewness and Kurtosis ?)

Fantastic. Thank you.

You are my lifesaver

One question I hope you read it and make a video on it, why estimation causes us to loose degree of freedom?

why do we divide by cube of standard deviation? can you explain how exactly does it standardize the third moment?

Thanks alot... this video is amazing Bro

sir please explain me the dof specially for skewness please , i already saw your video on df but i understood everything but from that understanding i am unable to undestand the df for skewness so there might be something more i am missing so please fill that gap

If there is df = n-1 for variance because of population mean, and df = n-2 for skewness because of population mean and variance, so why there is df = n-3 when you calculate kurtosis? what is the population parameter we account for?

Please do go into the excruciating derivations of second & third moments- both sample and population! In the SAMPLE third moment for example, it makes sense algebraically that (n-1)(n-2) factors out, but since when is n-2 make sense with regards to degrees of freedom? So on with the 4th moment?

excellent explanation

Can someone please tell me where is outliers video?

Very helpful video.

Is moments can bi negative??

@6:20 - The Low Numbers dont "detract" as much as the High Numbers "inflate" this calculation - BAM !!

Awesome Video ! Thanks