Find P(X+Y<1) in a different way

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In summary, finding P(X+Y<1) in a different way allows for the exploration of alternative methods for calculating probabilities, which can provide valuable insights and improve understanding of mathematical principles. There are several possible approaches for finding P(X+Y<1) in a different way, including the use of different statistical distributions, transformation techniques, and simulation methods. This can benefit scientific research by allowing for a deeper understanding and potentially uncovering new insights. However, there may be limitations to this approach depending on the specific problem and chosen method, so it is important to carefully consider assumptions and potential biases. To learn more about finding P(X+Y<1) in a different way, there are various resources available such as textbooks, online tutorials,
  • #1
Scootertaj
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1. Let the pdf of X,Y be [tex]f(x,y) = x^2 + \frac{xy}{3}, 0<x<1, 0<y<2[/tex]
Find P(X+Y<1) two ways:

a) P(X+Y<1) = P(X<1-Y)
b) Let U = X + Y, V=X, and finding the joint distribution of (U,V), then the marginal distribution of U.

The Attempt at a Solution


a) P(X<1-Y) = ?
[tex]P(x<1-y) = \int_0^1 \int_0^{1-y} (x^2 + \frac{xy}{3})dx = 7/72[/tex]
b) I have no idea how to start.
 
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Resolved.
 

1. What is the significance of finding P(X+Y<1) in a different way?

Finding P(X+Y<1) in a different way allows us to explore alternative methods for calculating probabilities. This can provide valuable insights and improve our understanding of the underlying mathematical principles.

2. What are some possible approaches for finding P(X+Y<1) in a different way?

There are several approaches that can be used, including the use of different statistical distributions, transformation techniques, and simulation methods.

3. How does finding P(X+Y<1) in a different way benefit scientific research?

By using alternative methods to calculate probabilities, scientists can gain a deeper understanding of the problem at hand and potentially uncover new insights that may not have been possible with traditional approaches.

4. Are there any limitations to finding P(X+Y<1) in a different way?

Like any statistical analysis, finding P(X+Y<1) in a different way may have limitations depending on the specific problem and the chosen method. It is important to carefully consider the assumptions and potential biases of the chosen approach.

5. How can I learn more about finding P(X+Y<1) in a different way?

There are many resources available for learning about different methods for calculating probabilities, including textbooks, online tutorials, and workshops. Consulting with a statistician or other experts in the field can also be helpful in gaining a deeper understanding of this topic.

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