38-Joint Probability Mass Function (PMF)

  Рет қаралды 276,779

Probability Course

Probability Course

Күн бұрын

Пікірлер
@soumiadje
@soumiadje Жыл бұрын
The true definition of "old but gold". Thank you sir🙌🏼
@Alchemist10241
@Alchemist10241 3 жыл бұрын
This is when KZbin needs star rating system. I give five star for this video.
@minecraftexpertFTW
@minecraftexpertFTW 2 ай бұрын
back in the day it did :(
@LynchZT
@LynchZT 8 жыл бұрын
literally mate, my lecturer labours through this shit in 4 lectures, going through the proofs of everything, making it seem impossible and make me not want to learn it, you do it in 13 minutes and i understand it perfectly thankyou
@studyingwidjem
@studyingwidjem 20 күн бұрын
These videos really helped me
@NightbladeNotty
@NightbladeNotty 8 жыл бұрын
Thank you for the concise explanations, this is helping shed some light in my class now :D
@muhammadkumayl7761
@muhammadkumayl7761 8 жыл бұрын
I finally get this!! Went through so many other videos but couldnt get the concept! Nicely done!!!
@wisdom5603
@wisdom5603 3 жыл бұрын
This is one of the best explanation on joint PMF....!!! Thank you sir !🙏
@BoZhaoengineering
@BoZhaoengineering 3 жыл бұрын
The most advantage I take from your video is you use the most simple example to interpret the idea. Excellent !
@zohidbekmahmudjanov7860
@zohidbekmahmudjanov7860 6 ай бұрын
thank you, ive been suffering. u've helped a lot 😇
@MindFixingTV
@MindFixingTV 6 ай бұрын
Thank you very much.a best all in one expalnation
@alireza98325
@alireza98325 4 жыл бұрын
Merci beaucoup Hossein
@kangmoabel
@kangmoabel 2 жыл бұрын
Great lecture !!
@studyingwidjem
@studyingwidjem 20 күн бұрын
Thank you a lot
@blv3440
@blv3440 29 күн бұрын
sup from 2024 December. ur explanations r so fully and useful!
@paulbrown5839
@paulbrown5839 4 жыл бұрын
Good video, thanks a lot.
@preetam.ind1
@preetam.ind1 Жыл бұрын
Thanks a lot !❤
@jinaljain9952
@jinaljain9952 4 жыл бұрын
Thank you so much. It helped me lot
@ellenguyen1985
@ellenguyen1985 7 жыл бұрын
Thanks for the helpful video! I think there is a mistake at 9:28 though; for Py(y) should it be (xi, y) not (xi, yj)?
@senjanusantara
@senjanusantara 7 жыл бұрын
Thank You!
@susonly2004
@susonly2004 Жыл бұрын
very well explained
@SadmanPinon
@SadmanPinon 3 жыл бұрын
Good video. I like.
@anveshvs7671
@anveshvs7671 4 жыл бұрын
At 16th sec, you were telling if...X is discrete...instead of continuous.
@SequinBrain
@SequinBrain 2 жыл бұрын
yeah, I had trouble making that out, sounded the same each time.
@yusuffabdulmusawwir6807
@yusuffabdulmusawwir6807 Жыл бұрын
How can I form the table from the diagram
@mrxinnovations809
@mrxinnovations809 2 жыл бұрын
nice example choice !
@SuperAniSmile
@SuperAniSmile 9 жыл бұрын
Thank you so much. This is really helpful. :)
@steafansteinocher462
@steafansteinocher462 Ай бұрын
Perfect
@serkanerol23
@serkanerol23 7 жыл бұрын
how can we find E(x) and E(y)?
@jenniferbundy1424
@jenniferbundy1424 8 жыл бұрын
Not clear. I cannot understand what you are saying about PMF & PDF at the very beginning of the video. Sounds like you are saying "I call PMF Discrete, but when considering PDF, I call Discrete?????" Please clarify.
@probabilitycourse3883
@probabilitycourse3883 8 жыл бұрын
+Jennifer Bundy Thanks for the comment, what I meant was: If x is a discrete random variable we usually consider PMF. But if x is a continuous random variable we usually consider PDF.
@chitwarnie
@chitwarnie 8 жыл бұрын
Speak slower that will solve alot of things. I almost refused to continue with this video if you had not explained the "if x is a discrete..." part since i couldnt understand what you were saying
@amritakaul87
@amritakaul87 7 жыл бұрын
Jennifer Bundy - pmf is for discrete rv and pdf for continous rv...
@jacobm7026
@jacobm7026 6 жыл бұрын
@@chitwarnie KZbin has the option to slow down the video, as well as speed it up. It also allows you to stop watching it if you're going to cry about free information
@KIRAN5P
@KIRAN5P 4 жыл бұрын
So what is the actual answer for the marginal PMFs? Is it 7/24 + 5/12 + 7/24 for pY(y)?
@Morphine-691
@Morphine-691 2 жыл бұрын
Awesome & 2 some ❤️❤️😀🔥👌
@christen-memoseley6833
@christen-memoseley6833 9 жыл бұрын
I cant understand what you are saying. When you say, "X is a single random variable, For example if x is ..... random variable You usually consider PMF. But if x is a ....... variable you usually consider PDF. Can you tell me the words in between or give me an exact sentence? Thank you P.S. Thanks for the video
@probabilitycourse3883
@probabilitycourse3883 8 жыл бұрын
+Christen M Thanks for the comment, what I meant was: If x is a discrete random variable we usually consider PMF. But if x is a continuous random variable we usually consider PDF.
@dydx3741
@dydx3741 6 жыл бұрын
Christen Babe how bout now??? have u understood ??
@Yuh0847
@Yuh0847 3 жыл бұрын
@@dydx3741 3 years have gone and no reports if she had indeed understood :(
@Lisi_Mxo
@Lisi_Mxo 10 ай бұрын
Legend has it, till this day she's still trying to understand@@Yuh0847
@anchitrao7374
@anchitrao7374 4 жыл бұрын
great content, but my ears are shaking
@BarbaraGonzalez-l4v
@BarbaraGonzalez-l4v 2 ай бұрын
Young Maria Martinez Paul Jones Christopher
@SphereofTime
@SphereofTime 8 ай бұрын
0:42
@explore5394
@explore5394 Жыл бұрын
😭🙏🏻🙏🏻🙏🏻
@sabithsabo7986
@sabithsabo7986 6 жыл бұрын
Terrible audio
@zam023
@zam023 4 жыл бұрын
It is on your end then because I am hearing it just fine.
@joheunkang7678
@joheunkang7678 7 жыл бұрын
too fast.
39- Joint CDF
10:08
Probability Course
Рет қаралды 102 М.
PMF of a Function of a Random Variable
15:26
MIT OpenCourseWare
Рет қаралды 192 М.
We Attempted The Impossible 😱
00:54
Topper Guild
Рет қаралды 56 МЛН
Quando eu quero Sushi (sem desperdiçar) 🍣
00:26
Los Wagners
Рет қаралды 15 МЛН
Sigma Kid Mistake #funny #sigma
00:17
CRAZY GREAPA
Рет қаралды 30 МЛН
"A Random Variable is NOT Random and NOT a Variable"
29:04
Dr Mihai Nica
Рет қаралды 59 М.
Probability Distribution Functions (PMF, PDF, CDF)
16:17
zedstatistics
Рет қаралды 1,2 МЛН
Convolutions | Why X+Y in probability is a beautiful mess
27:25
3Blue1Brown
Рет қаралды 733 М.
L06.7 Joint PMFs and the Expected Value Rule
10:16
MIT OpenCourseWare
Рет қаралды 86 М.
The Key Equation Behind Probability
26:24
Artem Kirsanov
Рет қаралды 161 М.
Probability - Joint Probability & Double Integral
20:40
Dr. Vivian
Рет қаралды 45 М.