Question
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Let and be two jointly continuous random variables with pdf
a. Find and
b. Find the conditional pdf of given

Ask by Lewis Lee. in Tanzania
Jan 20,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

The conditional probability density function of given is:

Solution

Problem b

Find the conditional probability density function .
To find the conditional pdf , we use the definition:
From part a, we have:
  1. Joint PDF:
  2. Marginal PDF of , :
    To find , we integrate the joint PDF over all possible values of :
    Explanation of Limits:
    • Given , for a fixed , must satisfy , which implies .
    • Since , the upper limit is 1.
    Performing the Integration:
    So,
  3. Conditional PDF :
    Now, substitute and into the conditional PDF formula:
    Valid Range:
    • From the joint PDF, (since and ).
    • Also, because .
    Therefore,

Summary

The conditional probability density function of given is:

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Bonus Knowledge

To solve the problem, we will first derive the marginal probability density functions (pdfs) and , and then we will find the conditional pdf .

a. Finding and

Step 1: Finding
The marginal pdf of can be found by integrating the joint pdf over all possible values of :
for . We compute the integral:
Thus,
Step 2: Finding
Next, we find the marginal pdf of by integrating the joint pdf over :
The limits of integration for are from to because for to be non-zero, we need . We compute the integral as follows:
Thus,

b. Finding the conditional pdf of given

The conditional pdf is calculated using the formula:
Substituting and :
for (assuming ). Thus:
And that completes the solution!

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