Distribution functions

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Homework Help Overview

The discussion revolves around a continuous random variable with a specified cumulative distribution function (CDF) and the task of finding its probability density function (PDF). Participants explore the implications of the CDF's structure, particularly its discontinuities and the nature of the random variable.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the relationship between the CDF and the PDF, noting that the density function is the derivative of the CDF. There is a focus on the implications of the CDF being discontinuous at a specific point and whether the random variable can be considered continuous or discrete.

Discussion Status

The discussion is active, with participants offering different perspectives on the nature of the random variable and the existence of the PDF. Some guidance is provided regarding the interpretation of the CDF and the presence of a point mass at a specific value. There is an acknowledgment of the complexity of the problem, and participants are questioning the accuracy of the given CDF definition.

Contextual Notes

Participants note that the problem may be part of a past class test and express uncertainty about the correctness of their understanding of cumulative distribution functions. There is mention of a lack of definitive answers available for the test question.

buddingscientist
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A continuous random variable X has the cumulative distribution function
F(x) = 0 if x < 1
= 1/3 (sqrt(2x-1)) if 1<= x < 5
= 1 if x >= 5

find the probability Density function

any ideas?
 
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The density function is simply the derivative of F(x). However, because F is discontinuous at x=1, mathematically speaking the density function does not exist. If you a little less fussy, you can have a delta function with weight 1/3 at that point.

Another way of thinking about it, is that the random variable isn't continuous,
i.e. P(X=1)=1/3.
 
oooh !
So if we were to find the prob X between 2 and 3, we would simply sum f(2) and f(3) and not do any integral stuff.
(Because it's discrete and only has integer values)
thanks very much
 
The random variable has an "atom" (i.e. a point with P>0) at 1. It has continuous probability from 1 to 5, and 0 probability outside. If this is a homework problem, it sounds a little messy. Are you sure you've got the definition of F(x) correct?
 
Hi
This was a past class test question, and unfortunately there are no answers so one is only left to wonder whether they know how to do these sorts of problems or not.

The test is over and I don't think I answered the question to do with cumu. dist. functions correctly btu we can only wait and see next thurs
 

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