super clear. to the point. no excess details! just perfect pace, flow, and details, wow!

absolutely brilliant! The simplest and clearest explanation yet, without starting with the equations too which just confuses people! You're a genius! Thanks

These are great videos you're doing here. I just started an online statistics course and your explanations have been helping out a lot! Thanks!

Awesome! This video is perfect on each level. You speak loud and clear, Explanation are perfect, The video devided to topics. Thank you for your effort!

One of the best explanations of variance I've ever seen.

Finally a video answering my question in a straight forward manor. What I'd struggled to get a clear explaination on was both interpreting the variance/St dev as well as what there significance was relative to the average.

Thanks a lot. You are a great teacher sir. So easy to understand. Do keep sharing. You are helping people at large and contributing to their success.

This was so clear. Super helpful. Thank you!

Thank you 🙏 you explained it a thousand standard deviations better than my professor. You're a life saver!

Very well explained. Finally understand!

Simple and clean, thanks

Thanks for the very clear explanation.

Thank you so much! I have a machine learning and artificial intelligence module in university and I did not take focus on maths as one of my modules before university so I was really confused when I first encountered it. This helped me understand it a lot and you talk very clearly and concisely.

Thank you! I understood every word!

Well explained. I am working on spatial analysis of variance of climate datasets, this video helped me to clearly understand what variance is and where to apply!

Thank you. I understand so well the concept.

Thank you for making a video that was so easy to understand that i was able to watch while trimming my armpit hair

Amazingly explained.....

Super cool explanation !!!! Thank you!

love these kind of tutorials

Clear and concise, great video!

Thank you very much, with your videos I have been able not just to understand, but also to love more statistics. :) Greetings from Mexico.

Cheers. It is very helpful (simple, neat, and elegant)

i wanna say thank you so much that im crying because now i really know what variance and standar deviation is😭😭😭✨✨✨ your explanation is everything! this helps me a lott!

Concise and complete

Thank you so much for this video! It is just perfect!

Massively helpful thank you

Amazing!! Lovely explanation.

Awesome video thanks for the video, dear! 😎

thanks and well explained

incredible, thanks a lot

thats great... thanks.

Thanks awesome explnantion

My guy did something in 5 mins that my uni teacher couldn't do in 3 months🤣❤

Just awesome!

Awesome nicely explained ❤❤

nicely explained

thank you!!!

Thanks,so clear(:

Thank you ❤

Question: Why variance? I understand why Standard Deviation, but how does using variance clarify our data for interpretation? Thank you for the great video.

wow, super clear.

Thank you

Amazing!!!!

Tq sir very good explanation

Good explanation Would be better if you could include maybe 3 to 5 examples so we have a better sense of how it works

excellent

thank you

great video

Thanks

Hello. Great video. I am curious what benefit using variance has over standard deviation. In what situation would I use variance instead? Thank you

Essentially variance’s only use is to calculate standard deviation, which is actually helpful to interpret data 😂

THANK YOU!

Whey we need variance and where do we use ? Please explain. It was good explanation.

Hi, i have a line of data which consists of these numbers {4, 3, 5, 6 ,4, 5, 7,6,5,4} and i have Mean = 4,9 and the variance of 1.4333. My question is, is this variance considered high or low ?

Finally! Statistic basics, where I doesn't fall asleep.

Tnx

First of all, great video. Second, can u please explain why we get ZERO if we don't square. Thanks 😊

So fucking good, never stop

Very well expained

That is one definition of The Variance; here is mine: it is the rule by which one dimensional scalar data is converted to two dimensional data to map one dimensional (linear) data into two dimensional (probability) space. It is based upon geometry and Pythagorean Theorem. Does that make sense? Here is another definition: it is a square in imaginary space, the area of which is the sum the areas of all the individual variances, and it is a two dimensional probability space. We calculated it was integration. We can reduce the space from two dimensions into one by taking the square root of that scaler. That is the standard deviation. The standard deviation is the square root of the variance. 2:48: 28.4 is the radius of the circle in the space that was constructed from the data. It is the hypotenuse of a triangle that was constructed by adding the “Areas of Deviance” from the data points. 3:00 Because the Variance is the hypotenuse of a triangle that was constructed from the products of right triangles, we may use The Pythagorean Theorum to calculate its length by finding the square root. YW! Upvotes please!

Really good video. One question. When can we say that the variance is low or high? is there any kind of global value to refer to the data when the variance is low or high? Really good video.

What is the value of Standard Deviation were the observations are the lengths in days of the 12 different months in a leap year ?

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I don't know how many ways there are to calculate the variance but I calculate it by (EX^2-(EX)^2/N)/N

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Is there a easier way to find the variance

Is there a easier way to get 5he variance

If I pull a card to try for the ace of spades (1/52 chance) and I win $500 each time I do, and $0 all the other times, how do I calculate the variance? each pull would be 1/52 (not 1/52 then 1/51 then 1/50...)

The “n” of the population variance should be “N”

Supposed to be divided by 6?

Are the data points really obtainted from a sample population ? Why did he consider all the data sets in that case?

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This type of explanation, I called them " BULLSEYE EXPLANATION " !!

But why n-1.

please tell couldn't we have just taken sum of absolute values rather squaring them

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Variance ---> SD ---> SE Welcome

I don't understand one thing .......why should we square the values that we have subtracted from mean.........I am tense about this question

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hej

I'd not understand about standard variance

Why 6-1

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You did nothing explained for whole of the video

Thank you

thank you