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Express all probabilities as fractions. In soccer, a tie at the end of regulation time leads to a shootout by three members from each team. How many ways can 3 players be selected from 11 players available? For 3 selected players, how many ways can they be designated as first, second, and third?

Short Answer

Expert verified
There are 990 ways to select and order 3 players from 11.

Step by step solution

01

- Determine the number of combinations

To select 3 players out of 11, we use combinations since the order does not matter. The formula for combinations is: \[ _nC_k = \frac{n!}{k!(n-k)!} \] Here, n = 11 and k = 3. So, \[ _{11}C_3 = \frac{11!}{3!(11-3)!} = \frac{11!}{3! \cdot 8!} \]
02

- Simplify the combination formula

Next, we simplify the formula by canceling out the factorials. This gives: \[ _{11}C_3 = \frac{11 \times 10 \times 9 \times 8!}{3! \times 8!} = \frac{11 \times 10 \times 9}{3 \times 2 \times 1} = 165 \] So, there are 165 ways to choose 3 players from 11.
03

- Determine the number of permutations

For the 3 selected players, to designate them as first, second, and third, we need to consider permutations since the order does matter. The formula for permutations is: \[ P(n, k) = \frac{n!}{(n-k)!} \] Here, n = 3 and k = 3. So, \[ P(3, 3) = \frac{3!}{(3-0)!} = 3! = 6 \]
04

- Combine the results

Finally, we combine the number of combinations and permutations to find the total number of ways to select and designate 3 players as first, second, and third: \[ 165 \times 6 = 990 \] So, there are 990 total ways to select and order 3 players from 11.

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Key Concepts

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

Combinations
Combinations are used when we want to select a group of items from a larger set, and the order in which these items are selected does not matter. Combinations are crucial in scenarios like creating sports teams from a pool of players, selecting a jury from a list of candidates, or picking lottery numbers.

To calculate combinations, we use the formula: \[ _nC_k = \frac{n!}{k!(n-k)!} \]where \(n\) is the total number of items to choose from, and \(k\) is the number of items to be selected. The ! symbol (factorial) means to multiply a number by all the positive whole numbers less than it (e.g., \(5! = 5 \times 4 \times 3 \times 2 \times 1\).

In the soccer exercise, we needed to select 3 players out of 11. The calculation was as follows: \[_{11}C_3 = \frac{11!}{3!(11-3)!} = \frac{11!}{3! \times 8!}\]Simplifying the above equation: \[ _{11}C_3 = \frac{11 \times 10 \times 9 \times 8!}{3 \times 2 \times 1 \times 8!} = 165 \] This means there are 165 ways to choose 3 players from 11.

Permutations
Permutations are used when the order of selection matters. For example, in a race, the order in which participants finish is important, or designating members of a smaller team as first, second, and third.

To calculate permutations, we use the formula:\[ P(n, k) = \frac{n!}{(n-k)!} \]where \(n\) is the total number of items to choose from, and \(k\) is the number of items to be ordered.

In the context of our soccer scenario, once we've selected our 3 players out of 11, we need to determine in how many ways we can order these 3 players as first, second, and third. Using the formula: \[ P(3, 3) = \frac{3!}{0!} = 3! = 6\] This tells us that there are 6 different ways to order 3 players.

Factorials
Factorials are a fundamental concept in combinatorics and permutations. The factorial of a number (denoted by an exclamation mark, e.g., \(5!\)) is the product of that number and all positive integers less than itself. So, \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\).

Factorials grow very quickly with larger numbers, and they're useful in calculating combinations and permutations because they provide a way to account for all possible arrangements.

In our soccer exercise, we saw that \(11!\) (the factorial of 11) was used in both the combination and permutation calculations: \[ _nC_k = \frac{n!}{k!(n-k)!} \]and \[ P(n, k) = \frac{n!}{(n-k)!} \].

This fundamental principle helps simplify complex counting problems by breaking them down into manageable parts. Whenever you see problems involving selection and ordering, factorials will almost certainly play a role.

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Most popular questions from this chapter

A classical probability problem involves a king who wanted to increase the proportion of women by decreeing that after a mother gives birth to a son, she is prohibited from having any more children. The king reasons that some families will have just one boy, whereas other families will have a few girls and one boy, so the proportion of girls will be increased. Is his reasoning correct? Will the proportion of girls increase?

Express all probabilities as fractions. A clinical test on humans of a new drug is normally done in three phases. Phase I is conducted with a relatively small number of healthy volunteers. For example, a phase I test of bexarotene involved only 14 subjects. Assume that we want to treat 14 healthy humans with this new drug and we have 16 suitable volunteers available. a. If the subjects are selected and treated one at a time in sequence, how many different sequential arrangements are possible if 14 people are selected from the 16 that are available? b. If 14 subjects are selected from the 16 that are available, and the 14 selected subjects are all treated at the same time, how many different treatment groups are possible? c. If 14 subjects are randomly selected and treated at the same time, what is the probability of selecting the 14 youngest subjects?

Express the indicated degree of likelihood as a probability value between 0 and \(1 .\) Based on an Adecco survey of hiring managers who were asked to identify the biggest mistakes that job candidates make during an interview, there is a \(50-50\) chance that they will identify "inappropriate attire."

Describe the simulation procedure. (For example, to simulate 10 births, use a random number generator to generate 10 integers between 0 and 1 inclusive, and consider 0 to be a male and 1 to be a female.) Ten percent of people are left-handed. In a study of dexterity, 15 people are randomly selected. Describe a procedure for using software or a TI-83/84 Plus calculator to simulate the random selection of 15 people. Each of the 15 outcomes should be an indication of one of two results: (1) Subject is left- handed; (2) subject is not left-handed.

Answer the given questions that involve odds. In a clinical trial of 2103 subjects treated with Nasonex, 26 reported headaches. In a control group of 1671 subjects given a placebo, 22 reported headaches. Denoting the proportion of headaches in the treatment group by \(p_{t}\) and denoting the proportion of headaches in the control (placebo) group by \(p_{c}\), the relative risk is \(p_{t} / p_{c} .\) The relative risk is a measure of the strength of the effect of the Nasonex treatment. Another such measure is the odds ratio, which is the ratio of the odds in favor of a headache for the treatment group to the odds in favor of a headache for the control (placebo) group, found by evaluating the following: $$ \frac{p_{t} /\left(1-p_{t}\right)}{p_{c} /\left(1-p_{c}\right)} $$ The relative risk and odds ratios are commonly used in medicine and epidemiological studies. Find the relative risk and odds ratio for the headache data. What do the results suggest about the risk of a headache from the Nasonex treatment?

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