How To Solve For Covariance

Looking for a tutorial on How To Solve For Covariance? This practical instructional video explains accurately how it's done, and will help you get good at math. Enjoy this advice video from the world's most comprehensive library of free factual video content online.
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[@kingsleymaharajah7833]

your 7 min of explanation is better then 12 pages of stats lecture notes- amazing!

[@WhoArrrrghYou]

WOW: clear explanation, calm background music and being straight to the point. Those ingredients were enough to make me subscribe right away! Looking forward to more videos about statistics!

[@tuonvarmani3739]

Now that my hair is all gone from scratching my head because of frustration trying to understand my Professor's lecture, along came this video that basically put a lot of sense into my head in just only about 5 minutes of video, whereas in my Professor's lecture took a whole week to explain to the class. Thanks for the great explanation..

[@amydylan8744]

This was probably the most concise, clear way anyone has ever explained covariance to me.

[@jacketbrain9284]

simple and straight to the point, amazing explanation overall!

[@marklittlefield7352]

This is by far the best explanation for solving for covariance. Thank you very, very much.

[@sherylj8881]

So glad I found this video! Thank you for explaining this. I'm taking a summer course and needed to understand covariance quickly!

[@ujiesumodji1390]

Thank you prof . I cant even undertand when my lecturer teached us. Its almost 14weeks of lecture and next week we gonna sit for exam . You help me

[@NafizC93]

Great explanation, simple and easy to understand. Thank you for the video :)

[@poojasah8661]

Today I was very afraid that how to calculate this thing and i watch your vedio and clear my all doubt. Thank you sir

[@victoriatran3340]

Thank you so much, Mr. Instructor! This is so much helpful. So easy to understand. Have a wonderful day, and stay safe!

[@AnthonyNoto69]

Better than khan academy and all other youtubers, thanks bald man

[@willyLhy]

I just want you to know and be reminded that you have helped someone even in this year 2021. Thank you.

[@joeshorts1178]

Great video, professor could not teach me this, other videos I look up were not helpful but this video was great.

[@jaskeeratbamrah1372]

Thank you so much! This cleared things up very quickly! One question I have, You calculate the co-variance do you have to really calculate the variance. Can you not just skip to calculating the sum of xy/n - (mean of x)(mean of y) ??

[@ayumakin__]

this is still helping me ten years later thank you

[@necktiekakmalith8036]

thanks you very much I spent two months with my lecturer who's so suck finally this minutes video made it more easiest .

[@katherinerojas5168]

You explained in such easy terms, thanks !

[@tintinlol7881]

Great job ! Thank you for posting !

[@MyMpc1]

So brilliantly explained, thanks so much

[@regysmene5511]

Thank you, great, simple explanation.

[@crabrams1]

OH MY WORD!! This has helped me so much! I haven't been able to understand any other video! Thank you so much!

[@philipkarlsson6503]

Thank you for the great explanation!

[@akhil4441]

Greeting Dr. Shah, I have a concern that need to share with you, in your video, you proposed about covariance- i.e., Var(xy) = {Exy/n - (Xbar.Ybar)} however it's value is differed by another covariance formula = E{(Xi-Xbar).(Yi-Ybar)}/{n-1}. Request you to suggest.

[@eugeneliu1212]

Agree - the video can calculate the population covariance but not the sample covariance. If we do not subtract it from the 'mean', the division by (n-1) cannot yield the sample covariance.

[@2Exile0]

Thank you so much for your excellent explanation. Keep up the great work.

[@Kaesekuchen002]

Very nice explanation, thank you!

[@caitispence8525]

Thank you for making this!! So helpful

[@utube2605]

Thanks! This was actually very helpful.

[@MyGreenCoat]

Really clear explanation..! Thanks!

[@madurangamuhandiram2324]

great concise explanation. thank you

[@vusalakhundzade2997]

The best video about variance, covariance and correlation coefficient together ever..)

[@zubinsarkari5994]

superb explanation!!

[@MrAloha312]

Fantastic video. Made a difficult concept for me very easy to understand. Thanks!

[@lucielawless]

Great explanation!

[@Jgarcia487]

finally a video i understand. thanks for sharing :)

[@ASVExcel]

Thanks for the great explanation!

[@emmanuelgoa]

Thank you for this, well explained and well understood!!!

[@Megan66666]

Thank you great all round explanation!

[@butterCorn-vs8xl]

well explained.. Thank you

[@iamsnvpplefvcts5333]

Definitely cleared some things up. Hopefully the problems I'm doing allow me to use this method.

[@viewpoint2642]

Excellent !!!! Thanks Dr

[@xaznkraziedudex]

Very well explained. Thanks :)

[@emmanuellukwesakabaso664]

Thank you for sharing, very helpful

[@Jdonovanford]

The variance formula differs from that in wikipedia: The variance of a random variable {\displaystyle X} X is the expected value of the squared deviation from the mean.

[@souvikthakur95]

can u tell me if S.D of x and coefficient of correlation is given and the value of covariance for x & y is given what will be the S.D of Y?

[@joshuakerwood1803]

Super useful, thank you.

[@pineapple7562]

Thank you so much for sharing!

[@shiladityachakraborty9076]

Thank you.. It was really helpful 👍

[@STNguessie]

Thank you soooo much! You are great!

[@ragebeast88]

Hi Joshua, not sure how you get x1^2 - xbar^2 + x2^2 - xbar^2. using the formula (a-b)(a-b)=a^2-2ab+b^2, i get x^2-x.xbar-x.xbar+xbar^2. not sure whether you can advise me...

[@lukedoyle7802]

This explaination is so good

[@DeviantSkyline]

i rarely comment on videos. But this was fantastic, absolutely superb,

[@lachlanchapman2572]

best and most intuitive explination

[@robinflint5777]

Very well explained.

[@sivonparansun]

Using the variance function on my ti--89: the variance of x= 15/2.... which one is legit?

[@reemfahed2103]

Thank you Dr. Shah . I am saved :')

[@beckysnow8912]

Holy moly, thank you SOOOO MUCH for this!! How did you make this so easy to understand??

[@Sofi8007]

YOU ROCK! OMG! I WISH YOU WERE MY PROFESSOR! SHE HAS BEEN TRYING TO TEACH US THAT FOR OVER 5 WEEKS! AND IT TOOK YOU 7 MIN!

[@kanikasood1584]

waoo.. this is an amazing explanation. thank u

[@littlemizzbusy]

thank you this was excellent!

[@QB_Quotes]

You are brilliant Sir ... Love you Sir ...

[@dienobalodi4858]

You made my doubt clear thanks ❤️

[@jsurinderveygal561]

Thank you for this

[@pratikrathor4655]

Thank you!!

[@VirginPride]

Wow thank you sooo much! I can't believe that this was what my uni prof was teaching about. I am doubting of the existence of universities nowadays..

[@fazlfazl2346]

Good one. Thanks. Please explain covariance matrix also.

[@shibshankarpadhy783]

Can we find find the variance of y if we have variance of X and covariance of X and Y

[@anniebertolini7453]

THANKYOU SO MUCH!!!

[@AbdulaiIbrahim-fn1hp]

Very skillful in teaching

[@spyhunter0066]

Dear math master, Could you give me an example of finding a covariance matrix from a Gaussian function fit on a Gaussian data? Cheers. You may suggest a book to read about this kid of fitting problems as well.

[@mamdobhoot71]

thanks from my heart

[@taranmaan9273]

thnx sir your teaching way is very good

[@rynoweston]

Thank you sir.

[@JorgeGonzalez-ry8rl]

I love this man

[@benderovitz1]

Brilliant! Thanks.

[@KARANKUMAR-fd1sf]

amazing clear cut concept very helpful for my data mining paper

[@ageorges21]

really well done

[@hawihunde2479]

thank you very much dear

[@EllieGouldingFan]

Fantastic, thanks.

[@iamrising7176]

Thanks a lot.

[@fanucomedy8136]

Thx teacher you are good teacher

[@kagrenac7191]

Whoa this is magic.Thanks.

[@sabokunogaraa]

You sir are awesome!!!!!!!!

[@andyrodgers6432]

Thanks man!

[@jacobnapkins1155]

Give this guy all the awards

[@mississippi8106]

Thank you so much

[@yoni4422]

but what about the degree of freedom (9-1) for the denominator?

[@326dcn]

Awesome! Just awesome! Thank you so much!!!,!,

[@EagleTrue]

Love you man !

[@LevinS89]

Isn't the formula a different one for the variance? isnt it something like : s² = Σ(x-xbar)² / n-1 ?

[@snehgupta4178]

sir, please teach how to calculate Gini index and concentration index

[@bonnybabu2000]

Very good class🥰

[@thetailorsson]

Thank you

[@Madhu-zn7fh]

💞💞💞 great teacher

[@kedhis]

Thank You!!!!!!

[@ericmuga]

Amazing!

[@fahadautism90]

you are the best!!

[@atheeralattar8893]

Thanks Sir

[@Piki984]

I knew math wasn't evil! please make more video

[@jyotisharma3081]

Plz post a video of ancova.....