Line 21: Line 21:
 
</center>
 
</center>
 
----
 
----
<math>
+
waht
\begin{align*}
+
P(X=x|X+Y=n)
+
&=\frac{P(X=x, X+Y=n)}{P(X+Y=n)}\\
+
&=\frac{P(X=x, Y=n-x)}{P(X+Y=n)}
+
\end{align*}
+
\begin{align*}
+
P(X=x, Y=n-x)
+
&=P(X=x)P(Y=n-x)\\
+
&=\frac{e^{-\lambda_1}\lambda^x}{x!}\times \frac{e^{-\lambda_2}\lambda^(n-x)}{(n-x)!}\\
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{x!}
+
\left(
+
\begin{array}{c}
+
n\\x
+
\end{array}
+
\right)
+
\lambda_1^x\lambda_2^{n-x}
+
\end{align*}
+
\begin{align*}
+
{P(X+Y=n)}
+
&={\sum_{k=0}^{k=n}P(X=k,Y=n-k)}\\
+
&={\sum_{k=0}^{k=n}P(X=k)P(Y=n-k)}\\
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{n!}\sum_{k=0}^{k=n}
+
\left(
+
\begin{array}{c}
+
n\\k
+
\end{array}
+
\right)
+
\lambda_1^k\lambda_2^{n-k}
+
&=\frac{e^{-(\lambda_1+\lambda_2)}}{n!}(\lambda_1+\lambda_2)^n
+
\end{align*}
+
So
+
\begin{align*}
+
P(X=x|X+Y=n) &=
+
\left(
+
\begin{array}{c}
+
n\\k
+
\end{array}
+
\right)
+
(\frac{\lambda_1}{\lambda_1+\lambda_2})^x(\frac{\lambda_2}{\lambda_1+\lambda_2})^{n-x}
+
\end{align*}
+
</math>
+
 
----
 
----
 
[[ECE-QE_CS1-2015|Back to QE CS question 1, August 2015]]
 
[[ECE-QE_CS1-2015|Back to QE CS question 1, August 2015]]
  
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]
 
[[ECE_PhD_Qualifying_Exams|Back to ECE Qualifying Exams (QE) page]]

Revision as of 13:08, 3 December 2015


ECE Ph.D. Qualifying Exam

Communication, Networking, Signal and Image Processing (CS)

Question 1: Probability and Random Processes

August 2015


waht


Back to QE CS question 1, August 2015

Back to ECE Qualifying Exams (QE) page

Alumni Liaison

Questions/answers with a recent ECE grad

Ryne Rayburn