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A stockroom currently has \({\rm{30}}\) components of a certain type, of which \({\rm{8}}\) were provided by supplier \({\rm{1,10}}\)by supplier \({\rm{2}}\) , and \({\rm{12}}\) by supplier \({\rm{3}}\). Six of these are to be randomly selected for a particular assembly. Let \({\rm{X = }}\) the number of supplier l's components selected, \({\rm{Y = }}\) the number of supplier \({\rm{2}}\) 's components selected, and \({\rm{p(x,y)}}\) denote the joint pmf of \({\rm{X}}\) and\({\rm{Y}}\).

a. What is \({\rm{p(3,2)}}\) ? (Hint: Each sample of size \({\rm{6}}\) is equally likely to be selected. Therefore, \({\rm{p(3,2) = }}\) (number of outcomes with \({\rm{X = 3}}\) and \({\rm{Y = 2)/(}}\) total number of outcomes). Now use the product rule for counting to obtain the numerator and denominator.)

b. Using the logic of part (a), obtain \({\rm{p(x,y}}\) ). (This can be thought of as a multivariate hypergeometric distribution-sampling without replacement from a finite population consisting of more than two categories.)

Answer

Short Answer

Expert verified

a) The value of \({\rm{p}}\left( {{\rm{3,2}}} \right)\) is \({\rm{p}}\left( {{\rm{3,2}}} \right){\rm{ = 0}}{\rm{.0509}}\).

b) The solution is \({\rm{p(x,y) = }}\left\{ {\begin{array}{*{20}{l}}{\frac{{\left( {\begin{aligned}{*{20}{c}}{\rm{8}}\\{\rm{x}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{10}}}\\{\rm{y}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{12}}}\\{{\rm{6 - x - y}}}\end{aligned}} \right)}}{{\left( {\begin{aligned}{*{20}{c}}{{\rm{30}}}\\{\rm{6}}\end{aligned}} \right)}}}&{{\rm{,0~x + y~6 and x,y^I }}{{\rm{N}}_{\rm{0}}}}\\{\rm{0}}&{{\rm{, otherwise}}{\rm{. }}}\end{array}} \right.\)

Step by step solution

01

Definition

Probability simply refers to the likelihood of something occurring. We may talk about the probabilities of particular outcomes—how likely they are—when we're unclear about the result of an event. Statistics is the study of occurrences guided by probability.

02

Given in question

There are total of \({\rm{30}}\) components

\({\rm{8}}\)provided by supplier \({\rm{1}}\),

\({\rm{10}}\)provided by supplier \({\rm{2}}\),

\({\rm{12}}\)provided by supplier \({\rm{3}}\).

Six of these are randomly selected.

03

Determining the value of \({\rm{p}}\left( {{\rm{3,2}}} \right)\)

a)

As explained in the hint, we have that

\({\rm{p(3,2) = }}\frac{{\left( {\begin{array}{*{20}{l}}{\rm{8}}\\{\rm{3}}\end{array}} \right)\left( {\begin{array}{*{20}{c}}{{\rm{10}}}\\{\rm{2}}\end{array}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{12}}}\\{\rm{1}}\end{aligned}} \right)}}{{\left( {\begin{aligned}{*{20}{c}}{{\rm{30}}}\\{\rm{6}}\end{aligned}} \right)}}\) Where \(\left( {\begin{aligned}{*{20}{l}}{\rm{8}}\\{\rm{3}}\end{aligned}} \right)\)

represents the number of ways to take \({\rm{3}}\) components from supplier\({\rm{1}}\),

\(\left( {\begin{aligned}{*{20}{c}}{{\rm{10}}}\\{\rm{2}}\end{aligned}} \right)\)

represents the number of ways to take \({\rm{2}}\) components from supplier \({\rm{2}}\),

\(\left( {\begin{aligned}{*{20}{c}}{{\rm{12}}}\\{\rm{1}}\end{aligned}} \right)\)

represents the number of ways to take \({\rm{1}}\) component from the supplier \({\rm{3}}\). By the product rule for counting, the numerator would be

\(\left( {\begin{aligned}{*{20}{l}}{\rm{8}}\\{\rm{3}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{10}}}\\{\rm{2}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{12}}}\\{\rm{1}}\end{aligned}} \right){\rm{ = 56 \times 45 \times 12 = 30,240}}\)

The denominator is total number of outcomes, which is the number of ways to take \({\rm{6}}\) components out of\({\rm{30}}\), hence

\(\left( {\begin{aligned}{*{20}{c}}{{\rm{30}}}\\{\rm{6}}\end{aligned}} \right){\rm{ = 593,775}}\)

Now, the requested probability is

\({\rm{p(3,2) = }}\frac{{{\rm{30,240}}}}{{{\rm{593,775}}}}{\rm{ = 0}}{\rm{.0509}}\)

04

Obtaining the value of \({\rm{p}}\left( {{\rm{x,y}}} \right)\)

(b):

The bivariate (multivariate) hypergeometric distribution, with the same logic as above, is given with

\({\rm{p(x,y) = }}\left\{ {\begin{aligned}{*{20}{l}}{\frac{{\left( {\begin{aligned}{*{20}{c}}{\rm{8}}\\{\rm{x}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{10}}}\\{\rm{y}}\end{aligned}} \right)\left( {\begin{aligned}{*{20}{c}}{{\rm{12}}}\\{{\rm{6 - x - y}}}\end{aligned}} \right)}}{{\left( {\begin{aligned}{*{20}{c}}{{\rm{30}}}\\{\rm{6}}\end{aligned}} \right)}}}&{{\rm{,0~x + y~6 and x,y^I }}{{\rm{N}}_{\rm{0}}}}\\{\rm{0}}&{{\rm{, otherwise}}{\rm{. }}}\end{aligned}} \right.\)

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Most popular questions from this chapter

Return to the situation described in Exercise \({\rm{3}}\).

a. Determine the marginal pmf of \({{\rm{X}}_{\rm{1}}}\), and then calculate the expected number of customers in line at the express checkout.

b. Determine the marginal pmf of \({{\rm{X}}_{\rm{2}}}\).

c. By inspection of the probabilities \({\rm{P(}}{{\rm{X}}_{\rm{1}}}{\rm{ = 4),P(}}{{\rm{X}}_{\rm{2}}}{\rm{ = 0),}}\) and \({\rm{P(}}{{\rm{X}}_{\rm{1}}}{\rm{ = 4,}}{{\rm{X}}_{\rm{2}}}{\rm{ = 0),}}\) are \({{\rm{X}}_{\rm{1}}}\) and \({{\rm{X}}_{\rm{2}}}\) independent random variables? Explain

A certain market has both an express checkout line and a superexpress checkout line. Let \({{\rm{X}}_{\rm{1}}}\) denote the number of customers in line at the express checkout at a particular time of day, and let \({{\rm{X}}_{\rm{2}}}\) denote the number of customers in line at the superexpress checkout at the same time. Suppose the joint pmf of \({{\rm{X}}_{\rm{1}}}\)and\({{\rm{X}}_{\rm{2}}}\) is as given in the accompanying table

a. What is \({\rm{P(}}{{\rm{X}}_{\rm{1}}}{\rm{ = 1}}{{\rm{X}}_{\rm{2}}} = 1)\), that is, the probability that there is exactly one customer in each line?

b. What is \({\rm{P(}}{{\rm{X}}_{\rm{1}}}{\rm{ = }}{{\rm{X}}_{\rm{2}}})\),that is, the probability that the numbers of customers in the two lines are identical? c. Let A denote the event that there are at least two more customers in one line than in the other line. Express A in terms of \({{\rm{X}}_{\rm{1}}}\) and \({{\rm{X}}_{\rm{2}}}\), and calculate the probability of this event.

d. What is the probability that the total number of customers in the two lines is exactly four? At least four?

A box contains ten sealed envelopes numbered\({\rm{1, \ldots ,10}}\). The first five contain no money, the next three each contains\({\rm{\$ 5}}\), and there is a \({\rm{\$ 10}}\) bill in each of the last two. A sample of size \({\rm{3}}\) is selected with replacement (so we have a random sample), and you get the largest amount in any of the envelopes selected. If \({{\rm{X}}_{\rm{1}}}{\rm{,}}{{\rm{X}}_{\rm{2}}}\), and \({{\rm{X}}_{\rm{3}}}\) denote the amounts in the selected envelopes, the statistic of interest is \({\rm{M = }}\) the maximum of\({{\rm{X}}_{\rm{1}}}{\rm{,}}{{\rm{X}}_{\rm{2}}}\), and\({{\rm{X}}_{\rm{3}}}\).

a. Obtain the probability distribution of this statistic.

b. Describe how you would carry out a simulation experiment to compare the distributions of \({\rm{M}}\) for various sample sizes. How would you guess the distribution would change as \({\rm{n}}\) increases?

Annie and Alvie have agreed to meet between\({\rm{5:00 P}}{\rm{.M}}\). and\({\rm{6:00 P}}{\rm{.M}}\). for dinner at a local health-food restaurant. Let\({\rm{X = }}\)Annie's arrival time and\({\rm{Y = }}\)Alvie's arrival time. Suppose\({\rm{X}}\)and\({\rm{Y}}\)are independent with each uniformly distributed on the interval\({\rm{(5,6)}}\).

a. What is the joint pdf of\({\rm{X}}\)and\({\rm{Y}}\)?

b. What is the probability that they both arrive between\({\rm{5:15}}\)and\({\rm{5:45}}\)?

c. If the first one to arrive will wait only \({\rm{10\;min}}\) before leaving to eat elsewhere, what is the probability that they have dinner at the health-food restaurant? (Hint: The event of interest is\({\rm{A = \{(x,y):|x - y|£1/6\}}}\).)

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