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In Exercise 5, suppose that any incoming individual is equally likely to be assigned to any of the three stations irrespective of where other individuals have been assigned. What is the probability that

a. All three family members are assigned to the same station?

b. At most two family members are assigned to the same station?

c. Every family member is assigned to a different station?

Short Answer

Expert verified
  1. \({\rm{1/9}}\)
  2. \({\rm{8/10}}\)
  3. \({\rm{2/9}}\)

Step by step solution

01

definition of Aromatic hydrocarbon

We record the station number \(1,2,3\) for each family member. Member A visited station \({\rm{1}}{\rm{.}}\), member B visited station \({\rm{2,}}\), and member C visited station \({\rm{1}}{\rm{.}}\) (outcome 121).

We may make a table in which each row represents a sample and each column represents one of the three family members A, B, or C, as shown in the book. The table below shows all of the \({3^3} = 27\) tables (you will learn more about counting in the next chapters) \({\rm{S}}\) (Oc. stands for outcome and FM for Family Member)

If you're requested to list all outcomes, this is the way to go because it's easier to work with and you'll be able to see what you need more clearly. You may always start with all the same numbers and work your way down like we did when making the table; this is a classic strategy for doing so.

02

the probability if all three family members are assigned to the same station

Probability of an occurrence "All three members of the family are assigned to the same station," says A. On the benzene ring, each carbon atom possesses\({\rm{1}}\)atom.

Many known groups can also be replaced for that \({\rm{H}}\) atom.

\(\begin{aligned}\rm P(A) &= P((1,1,1) + (2,2,2) + (3,3,3))\\\rm &= \frac{{\rm{3}}}{{{\rm{27}}}}{\rm{ = }}\frac{{\rm{1}}}{{\rm{9}}}{\rm{,}}\end{aligned}\)

since all events have the same chance of occurring (probability \({\rm{1/27}}\)) and stands for the union of disjoint events

03

the probability if at most two family members are assigned to the same station

Probability of an occurrence \({\rm{B - }}\) "At most two family members are allocated to the same station" is the complement of \({\rm{B - }}\) "All three family members are assigned to the same station." are allocated to the same station", thus we get \({\rm{P(A) + P}}\left( {{\rm{A'}}} \right){\rm{ = 1}}\)

\({\rm{P(B) = 1 - P}}\left( {{\rm{B'}}} \right){\rm{ = 1 - }}\frac{{\rm{1}}}{{\rm{9}}}{\rm{ = }}\frac{{\rm{8}}}{{\rm{9}}}{\rm{,}}\)

where we used

04

the probability if Every family member is assigned to a different station

The occurrence C - "Every family member gets assigned to a separate station" has a probability of 1%.

\(\begin{aligned}\rm P(C) &= P(\{ (123),(132),(2,1,3),(2,3,1),(3,1,2),(3,2,1)\} )\\\rm &= \frac{{\rm{6}}}{{{\rm{27}}}}{\rm{ = }}\frac{{\rm{2}}}{{\rm{9}}}\end{aligned}\).

Because there are six outcomes that are all equally likely.

In the sample space, the probability of an event is #favourable outcomes.

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Most popular questions from this chapter

A system consists of two identical pumps, \(\# 1\) and \(\# 2\). If one pump fails, the system will still operate. However, because of the added strain, the remaining pump is now more likely to fail than was originally the case. That is, \(r\; = P\left( {\# 2\;fails|\# 1 fails} \right) > P\left( {\# 2 fails} \right) = q\). If at least one pump fails by the end of the pump design life in \(7\% \) of all systems and both pumps fail during that period in only 1%, what is the probability that pump \(\# 1\)will fail during the pump design life?

Two pumps connected in parallel fail independently of one another on any given day. The probability that only the older pump will fail is \({\rm{.10}}\), and the probability that only the newer pump will fail is \({\rm{.05}}\). What is the probability that the pumping system will fail on any given day (which happens if both pumps fail)?

Reconsider the system defect situation described in Exercise.

a. Given that the system has a type \(1\) defect, what is the probability that it has a type \({\bf{2}}\) defect?

b. Given that the system has a type \(1\) defect, what is the probability that it has all three types of defects?

c. Given that the system has at least one type of defect, what is the probability that it has exactly one type of defect?

d. Given that the system has both of the first two types of defects, what is the probability that it does not have the third type of defect?

A sonnet is a \({\rm{14}}\)-line poem in which certain rhyming patterns are followed. The writer Raymond Queneau published a book containing just \({\rm{10}}\) sonnets, each on a different page. However, these were structured such that other sonnets could be created as follows: the first line of a sonnet could come from the first line on any of the \({\rm{10}}\) pages, the second line could come from the second line on any of the \({\rm{10}}\) pages, and so on (successive lines were perforated for this purpose).

a. How many sonnets can be created from the \({\rm{10}}\) in the book?

b. If one of the sonnets counted in part (a) is selected at random, what is the probability that none of its lines came from either the first or the last sonnet in the book?

Suppose an individual is randomly selected from the population of all adult males living in the United States. Let A be the event that the selected individual is over six ft in height, and let B be the event that the selected individual is a professional basketball player. Which do you think is larger, \(P\left( {A|B} \right)\) or \(P\left( {B|A} \right)\)? Why?

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