Marginal Probability Distribution

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SUMMARY

The discussion centers on finding the marginal probability density functions for two components of a laptop, represented by the joint probability density function f(xy) = xe^(-x(1+y)) for 0 <= x <= y. The marginal probability density function of X is determined to be fX(x) = e^(-x), while for Y, it is fY(y) = 1/(1 + y)^2. Additionally, the probability that at least one component exceeds a lifetime of 1 year is approached by calculating the complement event, which involves a double integral of the joint function over the appropriate limits.

PREREQUISITES
  • Understanding of joint probability density functions
  • Knowledge of marginal probability density functions
  • Familiarity with integration techniques in probability
  • Ability to apply the complement rule in probability
NEXT STEPS
  • Study the derivation of marginal probability density functions from joint distributions
  • Learn about the application of double integrals in probability calculations
  • Explore the complement rule in probability and its implications
  • Investigate the properties of exponential distributions in reliability analysis
USEFUL FOR

Students in statistics or probability courses, data analysts working with reliability data, and anyone interested in understanding joint and marginal probability distributions.

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Homework Statement


Two components of a laptop computer have the following joint probability density function for their useful lifetimes X and Y (in years):

f(xy)=xe^(−x(1+y)) 0 <= x <= y

0 otherwise

Find the marginal probability density function of X, fX(x). Enter a formula below. Use * for multiplication, / for division, ^ for power and exp for exponential function. For example, 3x^3*exp(-x/3) means 3x^3e^(-x/3).

I found the answer to this, it is e^(-x).

Find the marginal probability density function of Y, fY(y). Enter a formula below.

I found the answer to this one too, its 1/(1 + y)^2 .

What is the probability that the lifetime of at least one component exceeds 1 year (when the manufacturer's warranty expires)? Round your answer to 4 decimal places.

This is the part I'm having trouble on, I'm not really sure how to start or set up this question.

Thanks for the help.

Homework Equations



The marginal probability equations, I'm not sure how to write them here.

The Attempt at a Solution


I don't really know how to set up the third part.
 
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Rifscape said:

Homework Statement


Two components of a laptop computer have the following joint probability density function for their useful lifetimes X and Y (in years):

f(xy)=xe^(−x(1+y)) 0 <= x <= y

0 otherwise

Find the marginal probability density function of X, fX(x). Enter a formula below. Use * for multiplication, / for division, ^ for power and exp for exponential function. For example, 3x^3*exp(-x/3) means 3x^3e^(-x/3).

I found the answer to this, it is e^(-x).

Find the marginal probability density function of Y, fY(y). Enter a formula below.

I found the answer to this one too, its 1/(1 + y)^2 .

What is the probability that the lifetime of at least one component exceeds 1 year (when the manufacturer's warranty expires)? Round your answer to 4 decimal places.

This is the part I'm having trouble on, I'm not really sure how to start or set up this question.

Thanks for the help.

Homework Equations



The marginal probability equations, I'm not sure how to write them here.

The Attempt at a Solution


I don't really know how to set up the third part.

The complement of the event "at least one component has a lifetime of >= 1 year" is "both components have lifetimes < 1 year".
 
Ray Vickson said:
The complement of the event "at least one component has a lifetime of >= 1 year" is "both components have lifetimes < 1 year".
Alright yeah that makes sense, the problem I have is how to set it up. Would I just do the double integral from 0 to 1 of the function with respect to x and y and then subtract?
 
Last edited:
Ray Vickson said:
The complement of the event "at least one component has a lifetime of >= 1 year" is "both components have lifetimes < 1 year".

Actually nevermind I got it, thanks for the help!
 

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