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A man just bought 4 suits, 8 shirts, and 12 ties. All of these suits, shirts, and ties coordinate with each other. If he is to randomly select one suit, one shirt, and one tie to wear on a certain day, how many different outcomes (selections) are possible?

Short Answer

Expert verified
There are 384 different possible outfits.

Step by step solution

01

Identify the number of choices for each clothing item

There are 4 suits, 8 shirts, and 12 ties. So, there are 4 choices for the suit, 8 choices for the shirt, and 12 choices for the tie.
02

Apply the Multiplication Principle

According to the multiplication principle, the total number of possible outcomes (outfits) can be calculated by simply multiplying the number of choices for each item together. So, the total number of outfits is given by \(4 \times 8 \times 12\).
03

Calculation

After doing the multiplication, \(4 \times 8 \times 12 = 384\).

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Key Concepts

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

Multiplication Principle
The multiplication principle is a fundamental concept in combinatorics, used to calculate the total number of possible outcomes of a series of choices. Here, it allows you to determine how many distinct combinations are possible when making selections across multiple categories. In our example, where a man chooses one suit, one shirt, and one tie, the multiplication principle tells us to simply multiply the number of options available for each choice:
  • 4 suits
  • 8 shirts
  • 12 ties
Thus, the total number of different outfit combinations is given as: \[4 \times 8 \times 12 = 384\]This principle is especially useful because it simplifies the process of calculating outcomes by breaking it down into manageable steps, applying multiplication repeatedly across categories.
Probability
Probability measures how likely an event is to occur. While the original exercise focuses more on counting combinations, a deeper understanding involves knowing how to calculate the probability of selecting a specific outfit. In combinatorics, probability is about understanding the relation between desired outcomes and the total possible outcomes.
For instance, if the question asked the probability of picking a particular outfit combination (say a specific suit, shirt, and tie), you would calculate:
  • Number of favorable outcomes = 1 (since one specific combination is desired)
  • Total possible outcomes = 384 (calculated using the multiplication principle)
The probability, therefore, would be:\[\frac{1}{384}\]This fraction represents how likely it is for that particular outfit to be chosen randomly among all possible combinations.
Counting Outcomes
The process of counting outcomes is central in solving combinatorial problems. It involves determining all possible configurations or arrangements from given sets of items. In scenarios like our exercise, it's about strategic calculation, not mere enumeration.
  • First, identify individual item sets and their counts: suits, shirts, ties.
  • Then, use mathematical principles like multiplication to find the total outcomes.
For our example, counting outcomes involves taking note of the 4 suits, 8 shirts, and 12 ties.
Instead of listing every single possible outcome, which would be time-consuming, we use methods learned in combinatorics to deduce that the possible number of selections (outcomes) is the product \[4 \times 8 \times 12\], totaling 384 distinct ways to create an outfit.Counting isn't just about numbers; it's also about efficiency and understanding patterns, which is why methods like these are emphasized in mathematics education.
Mathematics Education
In mathematics education, comprehending the multiplication principle and related concepts can significantly enhance problem-solving skills. These combinatorial methods give students powerful tools to tackle various real-life questions or academic problems.
By understanding how to count outcomes and calculate probabilities, students gain abilities that are applicable in fields such as statistics, economics, and computer science. Such skills include:
  • Logical thinking by recognizing patterns and sequences.
  • Effective decision-making through quantified possibilities.
  • Analytical skills by examining different configurations rigorously.
Educators strive to teach these foundational concepts through relatable examples, like wardrobe choices, to help students relate abstract mathematical ideas to tangible situations. Implementing exercises similar to the suit-shown problem fosters engagement and enhances cognitive connections.

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Most popular questions from this chapter

As mentioned in Exercise \(4.52\), a July 21 survey on www.HuffingtonPost.com asked people to choose their favorite junk food from a list of choices. Although the results were not broken down by gender, suppose that the following table represents the results for the 8002 people who responded, assuming that there were 4801 females and 3201 males included in the survey. $$ \begin{array}{lcc} \hline \text { Favorite Junk Food } & \text { Female } & \text { Male } \\ \hline \text { Chocolate } & 1518 & 531 \\ \text { Sugary candy } & 218 & 127 \\ \text { Ice cream } & 685 & 586 \\ \text { Fast food } & 312 & 463 \\ \text { Cookies } & 431 & 219 \\ \text { Chips } & 458 & 649 \\ \text { Cake } & 387 & 103 \\ \text { Pizza } & 792 & 523 \\ \hline \end{array} $$ Suppose that one person is selected at random from this sample of 8002 respondents. Find the following probabilities. a. Probability of the union of events female and chocolate. b. Probability of the union of events male and cake.

According to the U.S. Census Bureau's most recent data on the marital status of the 242 million Americans aged 15 years and older, \(124.2\) million are currently married and \(74.5\) million have never been married. If one person from these 242 million persons is selected at random, find the probability that this person is currently married or has never been married. Explain why this probability is not equal to \(1.0\).

A random sample of 400 college students was asked if college athletes should be paid. The following table gives a two-way classification of the responses. $$ \begin{array}{lcc} \hline & \text { Should Be Paid } & \text { Should Not Be Paid } \\ \hline \text { Student athlete } & 90 & 10 \\ \text { Student nonathlete } & 210 & 90 \\ \hline \end{array} $$ a. If one student is randomly selected from these 400 students, find the probability that this student i. is in favor of paying college athletes ii. favors paying college athletes given that the student selected is a nonathlete iii. is an athlete and favors paying student athletes iv. is a nonathlete \(o r\) is against paying student athletes b. Are the events "student athlete" and "should be paid" independent? Are they mutually exclusive? Explain why or why not.

According to a survey of 2000 home owners, 800 of them own homes with three bedrooms, and 600 of them own homes with four bedrooms. If one home owner is selected at random from these 2000 home owners, find the probability that this home owner owns a house that has three or four bedrooms. Explain why this probability is not equal to \(1.0\)

Twenty percent of a town's voters favor letting a major discount store move into their neighborhood, \(63 \%\) are against it, and \(17 \%\) are indifferent. What is the probability that a randomly selected voter from this town will either be against it or be indifferent? Explain why this probability is not equal to \(1.0\).

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