Conditional distribution for random variable on interval

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SUMMARY

The discussion focuses on finding the conditional distribution function and density for a random variable X defined on the real line R, given that X lies within a specific interval I = (a,b) where P(X in I) > 0. The key formula presented is fX|X∈I = P(X≤x | X∈ I) = fX,X∈I(x,x)/fX∈I(x). Participants discuss calculating P(X in I) through the integral of the density function over the interval I and express confusion regarding the joint distribution fX,X∈I(x,x) necessary for defining the conditional distribution.

PREREQUISITES
  • Understanding of probability density functions (PDFs)
  • Knowledge of conditional probability concepts
  • Familiarity with integration techniques for continuous random variables
  • Basic skills in handling joint distributions
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  • Study the derivation of conditional density functions in probability theory
  • Learn about joint distributions and their applications in conditional probability
  • Explore the properties of probability density functions and their integrals
  • Investigate examples of conditional distributions in real-world scenarios
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Srumix
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Homework Statement



Find the conditional distribution function and density for the random variable X defined on R given that X is in some interval I = (a,b) where P(X in I) > 0. Assume that the density and distribution for the random variable X is known

Homework Equations



fX|X[itex]\in[/itex]I = P(X[itex]\leq[/itex]x | X[itex]\in[/itex] I) = fX,X[itex]\in[/itex]I(x,x)/fX[itex]\in[/itex]I(x)

The Attempt at a Solution



I'm sorry, but my latex skills are very poor so I will try to describe in words what my problem is.
The problem I'm having is that I know how to calculate the probability of P(X in I) since we just take the integral of the density function over the interval I in question. However, what do I do with the "joint" distribution fX,X[itex]\in[/itex]I(x,x) that I need for the definition of conditional distribution? That is what I can't figure out.

Thanks in advance!
 
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Srumix said:

Homework Statement



Find the conditional distribution function and density for the random variable X defined on R given that X is in some interval I = (a,b) where P(X in I) > 0. Assume that the density and distribution for the random variable X is known

Homework Equations



fX|X[itex]\in[/itex]I = P(X[itex]\leq[/itex]x | X[itex]\in[/itex] I) = fX,X[itex]\in[/itex]I(x,x)/fX[itex]\in[/itex]I(x)

The Attempt at a Solution



I'm sorry, but my latex skills are very poor so I will try to describe in words what my problem is.
The problem I'm having is that I know how to calculate the probability of P(X in I) since we just take the integral of the density function over the interval I in question. However, what do I do with the "joint" distribution fX,X[itex]\in[/itex]I(x,x) that I need for the definition of conditional distribution? That is what I can't figure out.

Thanks in advance!

The conditional density is the coefficient of ##\Delta x## in the first-order (small-##\Delta x##) expansion of
[tex]\text{P} \{ x < X < x + \Delta x | a \leq X \leq b \}<br /> = \frac{\text{P} \{ x < X < x+ \Delta x \: \& \: a \leq X \leq b \}}{\text{P} \{ a \leq X \leq b \}}[/tex]
For ##x \in (a,b)##, can you figure out what is the numerator, in terms of the probability density function ##f(.)##? Can you figure out the denominator?
 

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