Lesson 14: Properties of Expectation and Variance

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Expectation and Variance of aX + b where a and be are constants, and X is a random variable with finite mean and variance. A derivation of the formulas is provided with an illustrative example.
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love from india.. this video is very useful for preparing for my sem. exams

_subhambanerjee
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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!

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

kevinwoods
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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..

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

ThomasAtlus
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man, yo 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.

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

norhanmokhtarabdeldayem
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I really love your simple explanations

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

ChernobylPizza
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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?

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

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

learningmaths
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Tysm sir for this video, it was really helpful.

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

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

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

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

vanvuongdo