Joint Probability Distribution , Joint PMF, Marginal PMF, Bivariate RV
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- Опубліковано 30 лип 2024
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This video lecture of Joint Probability Distribution , Joint PMF, Marginal PMF, Bivariate RV | Problems & Concepts by GP Sir will help Engineering and Basic Science students to understand following topic of Mathematics:
1. What Is Bi-variate Random Variable Or Two Dimensional Random Variable ?
2. How To find Joint Probability Mass Function & Joint Probability Distribution ?
3. How To find Marginal Probability Mass Function of X and Y ?
4. How To Prove Statistical Independence Of Random Variable ?
5. Example Based On Above Topics
#BivariateRandomVariable #JointPMF #MarginalPMF
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This Concept is very important in Engineering & Basic Science Students. This video is very useful for B.Sc./B.Tech students also preparing NET, GATE and IIT-JAM Aspirants.
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Time Stamp
0:00 - An introduction
1:40 - Bivariate Random Variable
2:12 - Bivariate Discrete Random Variable
2:33 - Bivariate Continuous Random Variable
3:30 - Joint Probability Mass Function
4:25 - Margimal Mass Function of x and y
5:11 - X and y are independent
5:55 - Q1.
19:46 - Conclusion of video
20:29 - Detailed about old videos
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Sir what is meant by here C2
Sir where can i find two dimensional continuous random variable topic... Please help
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Sir I understood this video lecture on Joint Probability Distribution , Joint PMF, Marginal PMF, Bivariate RV ☺
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Gp sir Life saver for engineers
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Need lecture to find joint PMF for continuous Random variable.
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Thank you very much sir. It's very helpful 😊😊😊
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Very good sir , awesome explanation
Bahut accha se aap ye topic explain kiye sir....thank u...
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HI i am from india and i have a question that at 8:46what exactly is "C" and does its value is 3 and 8,please respond
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isme kuch samjhaya hi nhi tha ,tabhi aapko samjh aa gaya wrna concept samjhate to shayad aapko samjhne me dikkat hoti ,,
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Sir do lemme know have you uploaded continuous bivariate random variable??
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Why are you keeping the denominator as 36? I couldn't understand the addition part(13:03)
Can anyone help me
to add both x and y at the end easily
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Sir please upload a video of bivariate contiuous probability distribution
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