Find the Probability of Joint PDF X and Y with Easy Calculation

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SUMMARY

The discussion focuses on calculating probabilities from a joint probability density function (PDF) of two random variables, X and Y. The joint PDF provided is structured in a matrix format, with specific probabilities assigned to combinations of X and Y values. The participants analyze the conditional probability P(X = 1 | X + Y = 2) and the joint probability P(X <= 1 and Y <= 2), arriving at the answers of 1/2 and 1/3, respectively. The calculations involve understanding the joint distribution and applying the definitions of conditional and joint probabilities.

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  • Understanding of joint probability distributions
  • Knowledge of conditional probability concepts
  • Familiarity with probability density functions (PDFs)
  • Basic skills in probability calculations
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  • Study the properties of joint probability distributions
  • Learn about conditional probability and its applications
  • Explore examples of calculating probabilities from joint PDFs
  • Review the concept of marginal probability distributions
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Students of statistics, data analysts, and anyone interested in probability theory and its applications in real-world scenarios.

sjaguar13
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Given this joint PDF of X and Y:
Code:
X\Y	1	2
0 	0.1	0.3
1	0.05	0.1
2	0.2	0.25

So:
P(X = 1| X+Y=2) = 1/2?
P(X <= 1 and Y <= 2) = 1/3?
 
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sjaguar13 said:
Given this joint PDF of X and Y:
Code:
X\Y	1	2
0 	0.1	0.3
1	0.05	0.1
2	0.2	0.25

So:
P(X = 1| X+Y=2) = 1/2?
P(X <= 1 and Y <= 2) = 1/3?

I don't get either of those. How did you get those answers?
 

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