I can't put into words how helpful this video is! I'm a working adult taking a data analytics certificate course. I did not do well in high school math because I needed the visual representation and context to make maths meaningful and memorable. If I had videos like this, I might have gone to college. Sincerely, thank you!

I love all your videos. The way you teach with patience, clarity and examples. You are a great teacher.

Thank you so much for your clear explanation! Self-learning is made easier for us international students with your help

I came across many explanation of variance and SD. None took the unit in to account. Great explanation.

I wanted to know about variance from KZfaq. Only your video served my purpose.

It's amazing how easy to understand the teaching is. Thank you

Very helpful and clear! Thanks so much!

Bunch of respect for you, my teacher❤

After thinking and ruminating about it for a solid half an hour straight, I think I finally understand. Basically you can’t have the STD (standard deviation) without getting the variance first. It all goes back to squaring each variables and their variation from the mean individually because we want the variance to be a positive value since a variance of 0 indicates all values are identical, thus you cannot have a variance with a negative value since it would entail nothing but rather a possible error in calculation. You could just change each individual value where the variation is a negative value, meaning that value falls below the mean value, to a positive value without having to square them to get the STD that way that would be tedious and counterintuitive especially when dealing with much larger sample sizes. In the end, squaring all values allows every value to be on the same level of measurement, whether with negative or positive variations, prevents having to do tedious guesswork of figuring out which values fall below the mean and changing those that do that have negative variation to positive. Please tell me I finally got it right 😢

Excellent! I'm using the materials for my students. I'm from Uruguay. Thanks a lot!

Very nicely and simply explained

thanl you so much! also your accent actually is very soothing so it makes learning easier, the slow pronunciations and stuff. my best math teacher in high school had a similar accent and I was an ace in that class :D!

Your channel is extremely nice. Beautiful explanation.

Thank you! Excellent explanation!

Thank for this awesome explanation.

Variance in its simplest form👏👏

Thank you for the easy explanation.✌️😊

Other than that, really great video! Thanks

Thank you so much and now I understand the diferencence between variance & std😀

Thanks!! Nice explanation. Just a query, shouldn't it be µ as opposed to x bar as it's being calculated for a population. Doesen't affect the logic though but still thought I should bring it to your attention.

Thanks. This helped :)

Hi,can you tell how the value 133 you got should be interpreted in reference to the data .

how would you tell a story using both? variance and MAD? what would the story look like? thanks trying to put these in reporting words

the denominator when we calculate variance has to be n-1(i.e., 5 in this case) not n(i.e., 6)

Thanks for this, great explanation. Can elaborate on the reasoning for 1/(n-1)? Why is it (n-1) for sample populations? Why not, say, (n-2) or (n-3.56)? Thanks

Thanks Nice video

thanks!

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...)

So good

Is the quadratic mean important to know? I didn't really understand that tbh.

Hello Data Tab Team. Thank you so much for this wonderful explanation. I now understood it nicely. I have one question regarding the calculation of the position of the median. Why is n/2 used in continuous series and (n+1) /2 is used in discrete series to find median? I will highly appreciate for your explanation

I have a doubt. We are squaring only the numerator in the variance but why do we put square root for the entire equation while calculating Standard Deviation. Shouldn't it be only the numerator that has to be square rooted?

Clear

The use of values (individual readings or Xi) to calculate variance is confusing. Just wondering from where those readings 173, 147, 161 etc came from? Kindly watch at 3:41 mins of vedio length. The values could have been (18-155)2 +(8-155)2+(15-155)2 etc...

Excuse me. For the definition, not the formula, what are the differences between variance and mean deviation?

1000000000 likes and thanks

You cannot really say that the variance is the standard deviation squared. That implies you can calculate the std to find the variance. This you cannot. Can you?

it's pronounced hite like kite, not hate.

Why can’t we calculate the standard divination right away ? By adding the differences in height and mean and just make them all positive and divide by n ?