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A woman has her purse snatched by two teenagers. She is subsequently shown a police lineup consisting of five suspects, including the two perpetrators. What is the sample space associated with the experiment "Woman picks two suspects out of lineup"? Which outcomes are in the event \(A\) : She makes at least one incorrect identification?

Short Answer

Expert verified
The sample space consists of 10 different pairs. Event \(A\), where the woman makes at least one incorrect identification, includes 9 of these pairs.

Step by step solution

01

Find the sample space

The sample space is all the different combinations the woman could choose 2 suspects out of 5. This is a problem of combinations without repetition and can be calculated by \({5 \choose 2} = \frac{5!}{2!(5-2)!} = 10\). So the sample space consists of 10 different pairs.
02

Define the event \(A\)

The event \(A\) happens when the woman makes at least one incorrect identification. This means she could either identify one thief and one innocent person (one incorrect identification), or she could identify two innocent people (two incorrect identifications).
03

Find the outcomes that belong to event \(A\)

First, calculate the outcomes where there is one thief and one innocent person. There are two ways to choose a thief (since there are two thieves) and 3 ways to choose an innocent person (since we have 5 suspects in total and 2 of them are thieves). So there are \(2 \times 3 = 6\) combinations for this case. Then, calculate the outcomes where both suspects are innocent. This means choosing 2 out of 3 innocent people, which can be calculated by \({3 \choose 2} = \frac{3!}{2!(3-2)!} = 3\). The total number of outcomes that belong to event \(A\) is thus \(6 + 3 = 9\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Combinatorics
Combinatorics is a branch of mathematics that deals with counting and arranging objects. It helps us understand how to count the number of ways an event can occur, given specific conditions. In the context of the exercise, combinatorics is used to determine how many different pairs of suspects the woman can choose from a lineup. Since she needs to pick 2 suspects out of a total of 5, we use a formula for combinations which is expressed as \({n \choose k}\) where \(n\) is the total number of items, and \(k\) is the number of items to choose.
  • The formula for combinations, without repetition, is given by \( {n \choose k} = \frac{n!}{k!(n-k)!} \).
  • Here, \(!\) symbolizes a factorial, which is the product of an integer and all the integers below it. For instance, \(5! = 5 \times 4 \times 3 \times 2 \times 1\).
Applying this formula, we find that the woman has 10 different possible pairs to choose from the 5 suspects, which frame our sample space later on.
Sample Space
The sample space in probability theory is the set of all possible outcomes of an experiment. It forms the foundation for determining probabilities and is crucial for analyzing any probabilistic scenario. In our exercise, the sample space consists of all different combinations of two suspects the woman could choose from a group of five.
  • This includes every possible pair of suspects, considering there are no repetitions, and order does not matter.
  • Since we calculated in the previous section that there are 10 ways to choose 2 suspects from 5, our sample space consists of 10 outcomes.
These outcomes cover every scenario, from picking both perpetrators to choosing two innocent bystanders. Understanding the sample space is essential as it sets the stage for identifying specific events within it.
Event Identification
Event identification involves characterizing specific outcomes within a sample space that meet certain criteria. An event can be any subset of the sample space. In our scenario, we are particularly interested in the event \(A\), where the woman makes at least one incorrect identification.
  • Identifying conditions of event \(A\), the woman could either:
    • Choose one perpetrator and one innocent person (one incorrect identification).
    • Choose two innocent people (two incorrect identifications).
  • To find these outcomes:
    • First, calculate pairs with one thief. There are two ways to choose one thief and three ways to choose one innocent, resulting in 6 combinations.
    • Second, calculate pairs with both suspects being innocent, choosing 2 from 3 innocents gives us 3 combinations.
In total, this means 9 outcomes make up event \(A\), where there are either one or two incorrect identifications. Event identification allows us to focus on the part of the sample space relevant to probability questions, like determining how likely the event is to occur.

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Most popular questions from this chapter

A man has \(n\) keys on a key ring, one of which opens the door to his apartment. Having celebrated a bit too much one evening, he returns home only to find himself unable to distinguish one key from another. Resourceful, he works out a fiendishly clever plan: He will choose a key at random and try it. If it fails to open the door, he will discard it and choose at random one of the remaining \(n-1\) keys, and so on. Clearly, the probability that he gains entrance with the first key he selects is \(1 / n\). Show that the probability the door opens with the third key he tries is also \(1 / n\). (Hint: What has to happen before he even gets to the third key?)

An automobile insurance company has compiled the information summarized below on its policy-holders. Suppose someone calls to file a claim. To which age group does he or she most likely belong? $$ \begin{array}{lcc} \hline \text { Age Group } & \begin{array}{c} \% \text { of } \\ \text { Policyholders } \end{array} & \begin{array}{c} \% \text { Involved in } \\ \text { Accidents Last Year } \end{array} \\ \hline \text { Young }(<30) & 20 & 35 \\ \text { Middle-aged }(30-64) & 50 & 15 \\ \text { Elderly }(65+) & 30 & 25 \\ \hline \end{array} $$

Suppose that \(P(A \cap B)=0.2, P(A)=0.6\), and \(P(B)=0.5\). (a) Are \(A\) and \(B\) mutually exclusive? (b) Are \(A\) and \(B\) independent? (c) Find \(P\left(A^{C} \cup B^{C}\right)\).

A Coast Guard dispatcher receives an \(\mathrm{SOS}\) from a ship that has run aground off the shore of a small island. Before the captain can relay her exact position, though, her radio goes dead. The dispatcher has \(n\) helicopter crews he can send out to conduct a search. He suspects the ship is somewhere either south in area I (with probability \(p\) ) or north in area II (with probability \(1-p\) ). Each of the \(n\) rescue parties is equally competent and has probability \(r\) of locating the ship given it has run aground in the sector being searched. How should the dispatcher deploy the helicopter crews to maximize the probability that one of them will find the missing ship? (Hint: Assume that \(m\) search crews are sent to area I and \(n-m\) are sent to area II. Let \(B\) denote the event that the ship is found, let \(A_{1}\) be the event that the ship is in area I, and let \(A_{2}\) be the event that the ship is in area II. Use Theorem \(2.4 .1\) to get an expression for \(P(B)\); then differentiate with respect to \(m\).)

Suppose that \(n\) fair dice are rolled. What are the chances that all \(n\) faces will be the same?

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