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

See the whole descriptive statistics playlist here:
• Descriptive Statistics...
See all my videos at www.zstatistics.com/videos/
0:00 Introduction
1:23 Intuition behind moments
9:23 Higher order moments
12:10 Sampling adjustments
Series music by Purdy.
Song: 3 Friends to the Stars
purdy.bandcamp.com/album/fair...

[@MyDataScienceTutor]

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!

[@bernadettesavage4786]

100 %

[@ehsamproduction]

100% agree although slight correction is that the visual, kinesthetic, etc types of learners are a myth and has been debunked. The reason we can understand it well now because the teacher is a good teacher and know how to explain the concepts intuitively. Hehe sorry for being picky, just wanna correct the misconception

[@abdulhafiz8584]

same goes to me. it becomes difficult to understand without vizualization

[@hernandezemardo5198]

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

[@christiansmith8965]

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.

[@GuppyPal]

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!

[@HartzAnimations]

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

[@bernadettesavage4786]

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.

[@qiaoyang5088]

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!

[@anweshabanerjee6982]

Yup, I finally understood moments.

[@notsosmart3288]

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.

[@sharynmain2432]

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😄

[@techexplored]

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

[@mohamedeltedawy4963]

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

[@nishantsharma4822]

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!

[@verasasinowski7147]

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

[@taladiv3415]

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.

[@sainikhilguntur4530]

The best intuition explanation for moments period!

[@amywilderson85]

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

[@toshakurt2384]

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

[@sheetanshuagarwal6740]

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

[@baselv8680]

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

[@jairovideo]

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

[@nrpbrown]

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.

[@shraddhawaghaye1978]

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.

[@tizianalauria1236]

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

[@AA-gl1dr]

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

[@alexanderlim4159]

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

[@vignesh.sivakumar]

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

[@searchmeinyoutube]

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.

[@ritobrotochanda5023]

I finally understood this concept, all thanks to you!

[@romgossel7971]

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

[@LedCepelin]

Amazing explanation! Thank you so much!

[@HabibKhan-wd1rn]

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)?

[@tymothylim6550]

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

Absolutely marvelous job on this video. Thank you very much

[@user-dy2sn1ny5t]

Very intuitive and straightforward! Ty!

[@rohanmishra7445]

wish i had a teacher like you! you are diamond

[@prathameshmahankal4180]

Such a beautiful explanation. Thank you so much!

[@undertaker7523]

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

[@KaziNazmulYT]

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 KZbin. 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.

[@sachinchhillar4173]

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

[@negatron3000]

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?

[@abdulwahid2069]

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

[@user-gx9hk8gt3k]

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

[@nidhidubey96]

Thank you sooo much for explaining this in this way

[@anoopr9793]

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

[@sanathgunawardena832]

This video made my day! Thanks!

[@khanshamirraees7902]

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

[@md.kutubulalamubayed6205]

Its really helpful to understand the moments, thanks a lot

[@roufeailmaged3226]

Thank you for these great videos ❣️

[@Teshub]

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

[@vrindaarora7869]

Got the concept cleared 😁

[@zelousfoxtrot3390]

Thank you for providing this!

[@tusharbhardwaj3861]

Amazing video mate

[@Mohamed_Salah8]

Subscribed because of this video, thank you

[@jenniferflores1789]

Thank you for this wonderful explanation!

[@gayatriprabhune6581]

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

[@rafaaalzain9076]

This is really helpful, thank you!

[@erv993]

this is a brilliant explanation, thanks!

[@junechu9701]

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

[@LePhone620]

suuuper clear! love you

[@Andrew-oq3fs]

Amazing, really appreciate this

[@muhammadejaz8981]

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

[@joveng.balberona4555]

Well explained! Thank you.

[@user-xy8kj5fg4e]

AMAZING EXPLANATION!!! thanks a lot.

[@rudheeshrk]

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

[@brianoliver7240]

Well explained! Thank you, a lot!

[@sahil-mn7ph]

wow sir... you are amazing

[@ivanzapote8369]

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

[@sgtcojonez]

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.

[@juanjosesossa9740]

Thank you so much ! Clearly explained !

[@zedstatistics]

You're welcome here anytime, JJS :)

[@manuelalmagro9837]

Amazing video!

[@MS-qh3iz]

Thank you so much for the video!! :)

[@SPmorality]

so clear thank you so much!!!!

[@ritikajaiswal3824]

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

[@GSPV33]

Fantastic. Thank you.

[@s.p.bharathkumar1574]

Awesome Video ! Thanks

[@mkapanyerere3051]

well explained and thanks much for your explanation

[@mouradmadouni8277]

Thank you very much !

[@abhijeetkelkar4681]

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 ?)

[@jerinfatima4999]

Thanks for this video

[@qinghuafeng1705]

Thank you so much!

[@blubblubber9460]

Beautiful.

[@mrvy]

Thank you, you are very clear and logical :)

[@MrHaykav]

Thank you very much

[@firasrachidi3512]

You are a legend!

[@dominicj7977]

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

[@anshultyagi3696]

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....

[@biancavanzile2473]

Very helpful, thank you

[@jitsamatanlamai9847]

You are my lifesaver

[@upomarahman6654]

you are love in the sky of statistics ❤

[@maryanncarrick7903]

Wow! Brilliant.

[@nikossioulas2067]

amazing video! thanks

[@gantobasly1559]

Very helpful video.

[@cameronturner3108]

so well explained

[@thanhthaobui1100]

excellent explanation

[@invisiblemilkbag]

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

[@safiachaudhary1449]

Beautiful teacher😊

[@yoshuahutagalung5734]

Wow.. so helpful, Bro!

[@nehaesthetic_07]

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

[@rohitdhankar360]

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

[@jonahmarlow3991]

Double bam!

[@aishnaarora9842]

Statquest fans hi there😆😆

[@Han-ve8uh]

An easy visual method to prove this statement is to observe y=x^2 graph. Starting anywhere on the graph, moving 2 points (1 left, 1 right) the same distance left and right (to keep the mean the same) on x-axis causes a larger increase in y and smaller decrease in y (works no matter you start at x>0 or x