Lesson 14: Properties of Expectation and Variance

[@48_subhambanerjee22]

love from india.. this video is very useful for preparing for my sem. exams

[@jacobfry46]

I've been using the Coaching Actuaries site, and they didn't explain why the Var(kX) = k^2 * Var(X). Very helpful, thank you!

[@kevinwoods8756]

You are a really great lecturer. Thank you for posting these videos.

[@muwongeevanspaul9166]

Whaaaaaaat.....u man,yo giiiiid so good.... Very understandable proof of variance. To be honest I have enjoyed the video,am gonna like, subscribe and share in a second from now. Thanks so much. What a video.

[@ThomasAtlus]

God damn it I can't believe it took me so long to understand this. Thank you!!!

[@puetshyegliean1905]

i hate statistics because of my teacher.. but you are good... my teacher always insulting me.. she don't know to teach..thank you mr..

[@norhanmokhtarabdeldayem7076]

Can you make more actuarial related topics please?! your videos are so helpful !

[@ChernobylPizza]

I spent a long time figuring out a problem that your video explains. I should have just watched this video first!

[@mukisajoshua2026]

I really love your simple explanations

[@tambuingoc2193]

Character In the video It's great, I like it a lot $$

[@tumul1474]

awesome video ! thank you sir

[@whitneyandbrianna1838]

Thank you a million!

[@hypergiant03]

Tysm sir for this video, it was really helpful.

[@babyduck4751]

Great video

[@ThanhThuy-wb6lm]

so helpful, thank you 🙏🏼 😊

[@pauljohncapote7541]

This really helps a lot.

[@heshiming1982]

At 12:45, the calculation of E(x^2), how come it's the integral of x^2 * 3/x^4 dx, and not x^2 * 3/x^8 dx?

[@teamstudent4555]

First calculate mean/variance of base variable and then apply the arithmetic

[@emellyyeo3969]

this is so helpful thank you!!

[@learningmaths4476]

Does E(aX+b) = aE(X)+b for independent and non independent?

[@acrobass544]

Shouldn't the boundaries of the integral be from 2 to infinity since the it's strictly greater than 1

[@nathanjanus4579]

Continuous distributions aren't affected in regards to less than or equal or strictly less than. So (1, infinity) is fine

[@pianolessonswithbless879]

No cos 1.5 is greater than 1

[@kolaadelekan7073]

bless your soul

[@easyintegration6036]

Thanks sir

[@turboyess5208]

Lmfao watching this lecture instead of my professor's lecture because he's absolute crap

[@JayRileyArgue]

Thanks

[@nelsonmoturi6177]

Thank you 😊

[@jonsnow3513]

thank you sir

[@stanleywainaina2366]

Great

[@suhailawm]

Tnx alot sir

[@lamees1134]

Thaaaaaaaaaaaaaaaaank youuuu

[@vanvuongdo7930]

Character In the video It's great, I like it a lot $$