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You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!
 
You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!
 
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===Answer 1===
+
===Hint===
 
Hint:
 
Hint:
 
: Find c by,
 
: Find c by,
 
: <math>\int_{-\infty}^{\infty} f_{X}(x)dx =1.</math>
 
: <math>\int_{-\infty}^{\infty} f_{X}(x)dx =1.</math>
: <math>f_{X|A}(x|A)= \frac{f_{X}(x)}{P({X>3})} = \frac{f_{X}(x)}{1- F_{X}(3)} .</math> -TA
+
: <math>f_{X|A}(x|A)= \frac{f_{X}(x)}{P({X>3})} = \frac{f_{X}(x)}{1- F_{X}(3)}</math> for some range of x
 +
-TA
  
 
===Comment on Hint===
 
===Comment on Hint===
: <span style='color:blue'>It's important to note that the <math>\color{blue} f_X(x)</math> given in the final line of the hint is distinct from the pdf given in the problem statement.  Specifically, the new <math>\color{blue} f_X(x)</math> is nonzero only on the range that the event A guarantees such that</span>
+
: <span style='color:blue'>It's important to note that the <math>\color{blue} f_X(x)</math> given in the final line of the hint is distinct from the pdf given in the problem statement.  Specifically, the new <math>\color{blue} f_X(x)</math> is nonzero only on the range dictated by the occurrence of event 'A' such that</span>
  
 
:<math>\color{blue}
 
:<math>\color{blue}
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\right.</math>
 
\right.</math>
  
:<span style='color:blue'>Note that this is 'new' <math>\color{blue} f_X(x)</math> is not a valid pdf by itself (violates normalization to 1 axiom), and thus the normalizing denominator is used.</span>
+
:<span style='color:blue'>Note that this is 'new' <math>\color{blue} f_X(x)</math> is not a valid pdf by itself (violates normalization to 1 axiom), and thus the normalizing denominator is used. -ag</span>
===Answer 2===
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 +
**<span style='color:green'>Correct. -pm</span>
 +
 
 +
===Answer 1===
 
Write it here.
 
Write it here.
===Answer 3===
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===Answer 2===
 
Write it here.
 
Write it here.
 
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Latest revision as of 08:17, 27 March 2013

Practice Problem: What is the conditional density function


Let X be a continuous random variable with probability density function

$ f_X(x)=\left\{ \begin{array}{ll} c x^2, & 1<x<5,\\ 0, & \text{ else}. \end{array} \right. $

Let A be the event $ \{ X>3 \} $. Find the conditional probability density function $ f_{X|A}(x|A). $


Share your answers below

You will receive feedback from your instructor and TA directly on this page. Other students are welcome to comment/discuss/point out mistakes/ask questions too!


Hint

Hint:

Find c by,
$ \int_{-\infty}^{\infty} f_{X}(x)dx =1. $
$ f_{X|A}(x|A)= \frac{f_{X}(x)}{P({X>3})} = \frac{f_{X}(x)}{1- F_{X}(3)} $ for some range of x

-TA

Comment on Hint

It's important to note that the $ \color{blue} f_X(x) $ given in the final line of the hint is distinct from the pdf given in the problem statement. Specifically, the new $ \color{blue} f_X(x) $ is nonzero only on the range dictated by the occurrence of event 'A' such that
$ \color{blue} f_X(x)=\left\{ \begin{array}{ll} c x^2, & 3<x<5,\\ 0, & \text{ else}. \end{array} \right. $
Note that this is 'new' $ \color{blue} f_X(x) $ is not a valid pdf by itself (violates normalization to 1 axiom), and thus the normalizing denominator is used. -ag
    • Correct. -pm

Answer 1

Write it here.

Answer 2

Write it here.


Back to ECE302 Spring 2013 Prof. Boutin

Back to ECE302

Alumni Liaison

Recent Math PhD now doing a post-doctorate at UC Riverside.

Kuei-Nuan Lin