Evaluating Conditional Probability of Several Random Variables

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Homework Help Overview

The discussion revolves around evaluating the conditional probability P(X_1

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the correct interpretation of the conditional probability and the relationships between the events X_1

Discussion Status

Some participants have provided guidance on the need to focus on the intersection of events rather than unions, while others have questioned the use of specific values versus random variables in the calculations. There is an ongoing exploration of the correct approach to evaluating the probabilities involved.

Contextual Notes

There is confusion regarding the notation used for the random variables, particularly the distinction between the random variable X_2 and a specific value x_2. Additionally, the relevance of X_3 to the problem is noted but not fully addressed in the current discussion.

rayge
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Homework Statement


Let X_1, X_2, X_3 be iid with common pdf f(x)=exp(-x), 0<x<infinity, 0 elsewhere.

Evaluate P(X_1<X_2 | X_1<2X_2)

Homework Equations


f(X|Y) = f(x,y)/f(y)

The Attempt at a Solution


Since P(X_1<X_2) is a subset of P(X_1<2X_2), the intersection (edited, at first said union) should be P(X_1<X_2), so the conditional should be P(X_1<X_2)/P(X_1<2X_2) (edited). I evaluate this and get (exp(-x_2) - 1 )/ (exp(-2x_2 ) - 1), so I'm going wrong somewhere. Any suggestions welcome!
 
Last edited:
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rayge said:

Homework Statement


Let X_1, X_2, X_3 be iid with common pdf f(x)=exp(-x), 0<x<infinity, 0 elsewhere.

Evaluate P(X_1<X_2 | X_1<2X_2)


Homework Equations


f(X|Y) = f(x,y)/f(y)

The Attempt at a Solution


Since P(X_1<X_2) is a subset of P(X_1<2X_2), the union should be P(X_1<X_2), so the conditional should be P(X_1<2X_2)/P(X_1<2X_2). I evaluate this and get (exp(-x_2) - 1 )/ (exp(-2x_2 ) - 1), so I'm going wrong somewhere. Any suggestions welcome!

What value has ##x_2?## There is no ##x_2## mentioned in the question---only the random variable ##X_2##. Also, you should look at an intersection, not a union: the intersection is ##\{X_1 < X_2\}## while the union is ##\{X_1 < 2X_2\}##. Furthermore, you say one thing and compute something else.

Also, what role does ##X_3## have in the question?
 
Edited, you are right. I had evaluated P(X_1&lt;X_2)/P(X_1&lt;2X_2) to get the answer.

X_3 is the second part of the problem, not used in this part. Sorry for the confusion.
 
rayge said:
Edited, you are right. I had evaluated P(X_1&lt;X_2)/P(X_1&lt;2X_2) to get the answer.

X_3 is the second part of the problem, not used in this part. Sorry for the confusion.

No, that is not what you calculated. You calculated
\frac{P(X_1 &lt; x_2)}{P(X_1 &lt; 2x_2)}
for some un-specified value of the number ##x_2##.

How do you calculate ##P(X_1 < X_2)##? Here, I wrote and I mean ##X_2##---the random variable--not a number ##x_2##. Same question for ##P(X_1 < 2X_2)##.
 
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My guess is that it's the probability that X_1 is less than the mean of X_2, not some x_2.
 
rayge said:
My guess is that it's the probability that X_1 is less than the mean of X_2, not some x_2.

Please: no guesses. Go back to your probability textbook and read the appropriate sections, or consult your course notes. This is all really basic material about bivariate distributions, etc.
 

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