(Brian Thomas rhea edit hw10 (sorry if this is late :) )) |
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-Brian ([[User:Thomas34|Thomas34]] 00:23, 9 December 2008 (UTC)) | -Brian ([[User:Thomas34|Thomas34]] 00:23, 9 December 2008 (UTC)) | ||
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| + | This is the correct result but there are a few typos... | ||
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| + | We know <math>f_X (a) = \frac{2}{3}</math> in this region from part a, and from the graph, <math>f_{XY} (a,y) = \{\frac{4}{3}, \ \ 0 \leq y \leq 1; \ \ \ 0, \ \ \text{else}\}</math>. | ||
Revision as of 17:29, 9 December 2008
$ f_{y|x}(y|a)= \frac {f_{X,Y}(x,y)}{f_X(a)}\qquad \mathrm{Where}\ f_X(a) = f_X(x)\ \mathrm{for}\ 0<x<0.5 $
I'm not sure if this is right
I agree with your proposal, Arie. Let's finish this section of the problem:
$ f_{Y|X}(y|a)= \frac {f_{X,Y}(a,y)}{f_X(a)} $
We know $ f_X (a) = \frac{2}{3} $ from part a, and from the graph, $ f_{XY} (a,y) = \{\frac{4}{3}, \ \ 0.5 \leq y \leq 1; \ \ \ 0, \ \ \text{else}\} $.
So, dividing, $ f_{Y|X}(y|a)= = \{2, \ \ 0.5 \leq y \leq 1; \ \ \ 0, \ \ \text{else}\} $.
$ E(Y|X=a) = \frac{3}{4} $, and $ Var(Y|X=a) = \frac{1}{48} $, since $ f_{Y|X}(y|a) \frac{}{} $ has a uniform PDF.
-Brian (Thomas34 00:23, 9 December 2008 (UTC))
This is the correct result but there are a few typos...
We know $ f_X (a) = \frac{2}{3} $ in this region from part a, and from the graph, $ f_{XY} (a,y) = \{\frac{4}{3}, \ \ 0 \leq y \leq 1; \ \ \ 0, \ \ \text{else}\} $.
