Solved: In Exercise 5.3, we determined that the joint

Chapter 5, Problem 47E

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QUESTION:

In Exercise 5.3, we determined that the joint probability distribution of \(Y_{1}\), the number of married executives, and \(\mathrm{Y}_{2}\), the number of never-married executives, is given by

                   \(p\left(y_{1}, y_{2}\right)=\frac{\left(\begin{array}{c}

4 \\

y_{1}

\end{array}\right)\left(\begin{array}{c}

3 \\

y_{2}

\end{array}\right)\left(\begin{array}{c}

2 \\

3-y_{1}-y_{2}

\end{array}\right)}{\left(\begin{array}{l}

9 \\

3

\end{array}\right)},

\)

where \(y_{1}) and \(y_{2}) are integers, \(0\le y_1\le3,\ 0\le y_2\le3\), and \(1 \leq y_{1}+y_{2} \leq 3\). Are \(Y_{1}\) and \(Y_{2}\) independent? (Recall your answer to Exercise 5.21.)

Equation Transcription:

Text Transcription:

Y_1

Y_2

p(y_1,y_2)=(_y_1 ^4)(_y_2 ^3)(_3-y_1-y_2       ^2)over( _3 ^9)

y_1

y_2

0</=y_1</=3, 0</=y_2</=3

1</=y_1+y_2</=3

Y_1

Y_2

Questions & Answers

QUESTION:

In Exercise 5.3, we determined that the joint probability distribution of \(Y_{1}\), the number of married executives, and \(\mathrm{Y}_{2}\), the number of never-married executives, is given by

                   \(p\left(y_{1}, y_{2}\right)=\frac{\left(\begin{array}{c}

4 \\

y_{1}

\end{array}\right)\left(\begin{array}{c}

3 \\

y_{2}

\end{array}\right)\left(\begin{array}{c}

2 \\

3-y_{1}-y_{2}

\end{array}\right)}{\left(\begin{array}{l}

9 \\

3

\end{array}\right)},

\)

where \(y_{1}) and \(y_{2}) are integers, \(0\le y_1\le3,\ 0\le y_2\le3\), and \(1 \leq y_{1}+y_{2} \leq 3\). Are \(Y_{1}\) and \(Y_{2}\) independent? (Recall your answer to Exercise 5.21.)

Equation Transcription:

Text Transcription:

Y_1

Y_2

p(y_1,y_2)=(_y_1 ^4)(_y_2 ^3)(_3-y_1-y_2       ^2)over( _3 ^9)

y_1

y_2

0</=y_1</=3, 0</=y_2</=3

1</=y_1+y_2</=3

Y_1

Y_2

ANSWER:

Solution:

Step 1 of 2:

We have joint probability distribution of  and  is

p(,) =

Where, , and  are integers, ,  and

The claim is to check and  are independent.


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