Finding probability given joint pdf.

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Homework Help Overview

The problem involves independent and identically distributed random variables with a specified probability density function (pdf). Participants are tasked with evaluating conditional probabilities related to these random variables.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the nature of conditional probabilities and how to interpret the given conditions. There are attempts to clarify the phrasing of the problem and its implications for the calculations.

Discussion Status

The discussion is ongoing, with participants seeking hints and clarifications. Some guidance has been offered regarding the interpretation of the conditional probabilities, but no consensus has been reached on the approach to take.

Contextual Notes

There is mention of a lack of familiarity with statistics among some participants, which may influence their understanding of the problem. The phrasing of the conditions is also under scrutiny, indicating potential confusion about the problem setup.

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Homework Statement



Let X1 X2 X3 be independent and identically distributed random variables with common pdf f(x) = e^-x 0<x<infinity, zero elsewhere.

Evaluate P(X1 < X2|X1 < 2X2) and P(X1 < X2 < X3|X3 < 1).


The Attempt at a Solution



Would appreciate any hints as to where to start...
 
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I haven't actually studied any statistics so there might be an easier way of doing this but this is how I'd do it...

Having a conditional probability means that you essentially have a 100% probability for the condition, that is

\int_{x_1 &lt; 2x_2} dx_1 dx_2 f(x_1, x_2) = 1

This gives you the probability density given the condition that x_1 < 2 x_2. You can then use that to find the probability that x_1 < x_2.
 
clamtrox said:
I haven't actually studied any statistics so there might be an easier way of doing this but this is how I'd do it...

Having a conditional probability means that you essentially have a 100% probability for the condition, that is

\int_{x_1 &lt; 2x_2} dx_1 dx_2 f(x_1, x_2) = 1

This gives you the probability density given the condition that x_1 < 2 x_2. You can then use that to find the probability that x_1 < x_2.

But I don't think the problem is saying X1 < 2X2 I think the phrasing was X2|X1 < 2X2. Am I thinking about it wrong?
 
The first problem reads out as "probability that x_1 < x_2, given that you already know that x_1 < 2x_2". The 2nd problem is "probability that x_1 < x_2 < x_3, given that you know that x_3 < 1". Atleast that is what this notation means as far as I know. :-)
 

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