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Question:LetYbe the rate (calls per hour) at which calls arrive at a switchboard. LetXbe the number of calls during at wo-hour period. A popular choice of joint p.f./p.d.f. for(X, Y )in this example would be one like

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{{{\left( {{\bf{2y}}} \right)}^{\bf{x}}}}}{{{\bf{x!}}}}{{\bf{e}}^{{\bf{ - 3y}}}}\;{\bf{if}}\;{\bf{y > 0}}\;{\bf{and}}\;{\bf{x = 0,1, \ldots }}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)

a. Verify thatfis a joint p.f./p.d.f. Hint:First, sum overthexvalues using the well-known formula for thepower series expansion of\({{\bf{e}}^{{\bf{2y}}}}\).

b. Find Pr(X=0).

Short Answer

Expert verified
  1. It is verified that f is a joint p.f/p.d.f.
  2. \(\Pr \left( {X = 0} \right) = \frac{1}{3}\)

Step by step solution

01

Given information

At a switchboard, the rate which is arriving a call per hour is Y and for a two-hour period, the number of calls is X.

The joint probability density function of (X,Y) is,

\(f\left( {x,y} \right) = \left\{ \begin{array}{l}\frac{{{{\left( {2y} \right)}^x}}}{{x!}}{e^{ - 3y}}\;if\;y > 0\;and\;x = 0,1, \ldots \\0\;otherwise\end{array} \right.\)

02

Determining the verification

a. .

To verify that f is a joint p.d.f or p.f and to verify its validity, we have to do the sum over all x values and integrate the sum over the region\({{\bf{S}}_{\bf{y}}}{\bf{ = }}\left\{ {{\bf{y:y > 0}}} \right\}\). Then we have to show that the value of the integration is 1.

So,

\(\begin{array}{c}\int\limits_0^\infty {\sum\limits_{x = 0}^\infty {{f_{X,Y}}\left( {x,y} \right)dy = } } \int\limits_0^\infty {\sum\limits_{x = 0}^\infty {\frac{{{{\left( {2y} \right)}^x}}}{{x!}}{e^{ - 3y}}dy} } \\ = \int\limits_0^\infty {{e^{ - 3y}}\sum\limits_{x = 0}^\infty {\frac{{{{\left( {2y} \right)}^x}}}{{x!}}dy} } \\ = \int\limits_0^\infty {{e^{ - 3y}}{e^{2y}}dy} \\ = \left. {{e^{ - y}}} \right|_0^\infty \\ = 1\end{array}\)[For the power series of\({e^{2y}}\)]

Thus, it is verified that f is joint p.d.f.

03

Calculating the probability

b.

The probability that X=0is-

\(\begin{array}{c}\Pr \left( {X = 0} \right) = {f_X}\left( 0 \right)\\ = \int\limits_0^\infty {{f_{X,Y}}\left( {0,y} \right)dy} \\ = \int\limits_0^\infty {\frac{{{{\left( {2y} \right)}^0}}}{{0!}}{e^{ - 3y}}dy} \\ = \int\limits_0^\infty {{e^{ - 3y}}dy} \\ = \left. {\frac{{{e^{ - 3y}}}}{3}} \right|_0^\infty \\ = \frac{1}{3}\end{array}\)

Thus, the probability is \(\frac{1}{3}\).

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Most popular questions from this chapter

Suppose that three boys A, B, and C are throwing a ball from one to another. Whenever A has the ball, he throws it to B with a probability of 0.2 and to C with a probability of 0.8. Whenever B has the ball, he throws it to A with a probability of 0.6 and to C with a probability of 0.4. Whenever C has the ball, he is equally likely to throw it to either A or B.

a. Consider this process to be a Markov chain and construct the transition matrix.

b. If each of the three boys is equally likely to have the ball at a certain time n, which boy is most likely to have the ball at time\(n + 2\).

Suppose that the p.d.f. of X is as follows:

\(\begin{aligned}f\left( x \right) &= e{}^{ - x},x > 0\\ &= 0,x \le 0\end{aligned}\)

Determine the p.d.f. of \({\bf{Y = }}{{\bf{X}}^{\frac{{\bf{1}}}{{\bf{2}}}}}\)

Question:Suppose that two persons make an appointment to meet between 5 p.m. and 6 p.m. at a certain location, and they agree that neither person will wait more than 10 minutes for the other person. If they arrive independently at random times between 5 p.m. and 6 p.m. what is the probability that they willmeet?

Suppose that a person’s score X on a mathematics aptitude test is a number between 0 and 1, and that his score Y on a music aptitude test is also a number between 0 and 1. Suppose further that in the population of all college students in the United States, the scores X and Y are distributed according to the following joint pdf:

\(f\left( {x,y} \right)\left\{ \begin{aligned}\frac{2}{5}\left( {2x + 3y} \right)for0 \le x \le 1 and 0 \le y \le 1\\0 otherwise\end{aligned} \right.\)

a. What proportion of college students obtain a score greater than 0.8 on the mathematics test?

b. If a student’s score on the music test is 0.3, what is the probability that his score on the mathematics test will be greater than 0.8?

c. If a student’s score on the mathematics test is 0.3, what is the probability that his score on the music test will be greater than 0.8?

Suppose that thenrandom variablesX1, . . . , Xnform a random sample from a continuous distribution for which the p.d.f. isf. Determine the probability that at leastk of thesenrandom variables will lie in a specified intervala≤x≤b.

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