You're right but it's a little more complicated than that. The variances of independent variables can be add up, but the standart deviations can't (because when we take the root of each variance individually and then sum them up we get a biased result) Also the variance has plenty of mathematical uses, which the standart deviation can't achieve. Hope this helped
Question: Why variance? I understand why Standard Deviation, but how does using variance clarify our data for interpretation? Thank you for the great video.
You're right I've been searching for an explanation to this without finding a clear answer, I only found out that the Mean Absolute Deviation is more inituitive measurement of spread for me...
@@tahaanouar2453 ive found the answer, variance is needed because further in statistics the variance should be the same between multiple variables. (variables that you set up against eachother) if one variance is bigger then the other your fucked. So for now remember that this is something for example a anova test.
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 ?
absolutely brilliant! The simplest and clearest explanation yet, without starting with the equations too which just confuses people! You're a genius! 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!
It is really helpful for me thanks a lot... Keep making videos in statistics for us in series according to the chapter. And please if you have already prepared the videos on it kindly share me the link. I need videos on: 1. Time Series, 2. Stationary Process and ARIMA Models, 3. Exponential Smoothing Models 4. ARCH/GARCH Models 5. Introduction to Artificial Intelligence 6. Application of AI 7. Introduction to Deep Learning 8. Artificial Neural Networks 9. Convolutional Neural Networks 10. Deep Learning Applications 11. Reinforcement Learning 12. Image Recognition using Deep Learning 13. Image Recognition using Deep Learning Thanks
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!
@@Sam-vz8gn I made a mistake! It is the standard deviation that is the hypotenuse: The standard deviation is the square root of the variance! I am in the process of re-writing my post until further notice…
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.
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.
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!
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.
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!
@@Franckzzznah my english is pretty enough to understand these type of videos but in the video he explained nothing he just showed us how variance is calculated. This is not an explanation of what variance is.
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...)
super clear. to the point. no excess details! just perfect pace, flow, and details, wow!
Essentially variance’s only use is to calculate standard deviation, which is actually helpful to interpret data 😂
HAHAHA THIS IS THE CONCLUSION THAT I HAVE ARRIVED TO
Right?!
Literally 😂
You're right but it's a little more complicated than that.
The variances of independent variables can be add up, but the standart deviations can't (because when we take the root of each variance individually and then sum them up we get a biased result)
Also the variance has plenty of mathematical uses, which the standart deviation can't achieve.
Hope this helped
It’s also used when determining standard error, which is used for determining margins of error.
Question: Why variance? I understand why Standard Deviation, but how does using variance clarify our data for interpretation? Thank you for the great video.
i have the same question, i cant find it anywhere on the internet
You're right I've been searching for an explanation to this without finding a clear answer, I only found out that the Mean Absolute Deviation is more inituitive measurement of spread for me...
@@tahaanouar2453 ive found the answer, variance is needed because further in statistics the variance should be the same between multiple variables. (variables that you set up against eachother) if one variance is bigger then the other your fucked. So for now remember that this is something for example a anova test.
My guy did something in 5 mins that my uni teacher couldn't do in 3 months🤣❤
But why n-1.
cuz the mean has been subtracted from each value, so one less value.
Degrees of freedom
The “n” of the population variance should be “N”
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 ?
absolutely brilliant! The simplest and clearest explanation yet, without starting with the equations too which just confuses people! You're a genius! 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!
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.
Good explanation
Would be better if you could include maybe 3 to 5 examples so we have a better sense of how it works
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!
Hello. Great video. I am curious what benefit using variance has over standard deviation. In what situation would I use variance instead? Thank you
It is really helpful for me thanks a lot...
Keep making videos in statistics for us in series according to the chapter.
And please if you have already prepared the videos on it kindly share me the link.
I need videos on: 1. Time Series,
2. Stationary Process and ARIMA Models,
3. Exponential Smoothing Models
4. ARCH/GARCH Models
5. Introduction to Artificial Intelligence
6. Application of AI
7. Introduction to Deep Learning
8. Artificial Neural Networks
9. Convolutional Neural Networks
10. Deep Learning Applications
11. Reinforcement Learning
12. Image Recognition using Deep Learning
13. Image Recognition using Deep Learning
Thanks
My man explained the concept so simplistically, that I feel dumb to not understand this concept earlier!!
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One of the best explanations of variance I've ever seen.
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!
How would to represent variance using a two dimensional graph & what would it represent? How would it be different from that of Standard deviation?
@@Sam-vz8gn I made a mistake! It is the standard deviation that is the hypotenuse: The standard deviation is the square root of the variance!
I am in the process of re-writing my post until further notice…
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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
This type of explanation, I called them " BULLSEYE EXPLANATION " !!
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incredible, thanks a lot
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.
Thank you!🙏 this is the best explanation out there
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please tell couldn't we have just taken sum of absolute values rather squaring them
Get ready, brace yourself for important refund info
Finally! Statistic basics, where I doesn't fall asleep.
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Are the data points really obtainted from a sample population ? Why did he consider all the data sets in that case?
Amazing!! Lovely explanation.
This was so clear. Super helpful. Thank you!
Crisp and clear explanation...
very informative sir, thank you
Amazing, thank you so much
I'd not understand about standard variance
So fucking good, never stop
Supposed to be divided by 6?
Variance ---> SD ---> SE
Welcome
Thank you very much, with your videos I have been able not just to understand, but also to love more statistics.
:) Greetings from Mexico.
Excellent! Thanks for the feedback Frida
Thank you
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.
First of all, great video. Second, can u please explain why we get ZERO if we don't square. Thanks 😊
Thanks for the very clear explanation.
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!
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.
Whey we need variance and where do we use ? Please explain. It was good explanation.
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!
Cheers. It is very helpful (simple, neat, and elegant)
What is the value of Standard Deviation were the observations are the lengths in days of the 12 different months in a leap year ?
Thank you so much for this video! It is just perfect!
Thank you for making a video that was so easy to understand that i was able to watch while trimming my armpit hair
So what
Jay Pillai gang
Thank you 🙏 you explained it a thousand standard deviations better than my professor. You're a life saver!
love these kind of tutorials
Tnx
excellent
Clear and concise, great video!
Thanks for the feedback
Thank you. I understand so well the concept.
Thanks
Thank you! I understood every word!
Awesome video thanks for the video, dear! 😎
Massively helpful thank you
Tq sir very good explanation
hej
You did nothing explained for whole of the video
I think it’s maybe because your English is not good enough to comprehend what he is teaching.
@@Franckzzznah my english is pretty enough to understand these type of videos but in the video he explained nothing he just showed us how variance is calculated. This is not an explanation of what variance is.
Very well explained. Finally understand!
Super cool explanation !!!! Thank you!
Awesome nicely explained ❤❤
Is there a easier way to find the variance
Simple and clean, thanks
Is there a easier way to get 5he variance
I don't understand one thing .......why should we square the values that we have subtracted from mean.........I am tense about this question
If you don't square, the sum would be zero. To avoid that we square and add them
@@harisudhan8481 Yeah your right....!
@@harisudhan8481 But can't we take values as it is!!??
Thanks awesome explnantion
Thanks,so clear(:
thanks and well explained
wow, super clear.
nicely explained
Amazingly explained.....
Thank you ❤
thats great... thanks.
Why 6-1
sample variance = n-1, population variance = n
great video
thank you!!!
Amazing!!!!
Concise and complete
thank you
Thank you
thank you
king
Just awesome!
THANK YOU!
Very welcome
Very well expained
Thanks :)
@@StevenBradburn no, Thank you.
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...)