/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 2 An automobile manufacturer has f... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

An automobile manufacturer has four colors available for automobile exteriors and three for interiors. How many different color combinations can he produce?

Short Answer

Expert verified
12 combinations.

Step by step solution

01

Understand the Problem

We need to determine how many different combinations of car exterior and interior colors can be made given the available options.
02

Identify Available Options

There are 4 available colors for the car exteriors and 3 available colors for the interiors.
03

Use the Multiplication Principle

To find the total number of combinations, multiply the number of options for the car exterior by the number of options for the car interior. Mathematically, this is calculated as: \[4 \times 3\]
04

Calculate the Number of Combinations

Perform the multiplication: \[4 \times 3 = 12\]This means there are 12 different color combinations possible for the automobile.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

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, often used in problems involving multiple choices or categories. Imagine you're choosing an outfit; you have different shirts, pants, and shoes to select from. The multiplication principle tells us how to calculate the total number of outfit combinations possible.

Essentially, the multiplication principle states that if you have a finite number of ways to make several independent choices, you can find the total number of combinations by multiplying the number of options at each choice. It's like stacking up possibilities one on top of the other. In our auto-manufacturing example,
  • There are 4 colors for the car exteriors.
  • There are 3 colors for the car interiors.
Applying the multiplication principle, you simply multiply these numbers: \(4 \times 3 = 12\). So, there are 12 unique combinations of exterior and interior colors available.
Counting Principle
The counting principle is another key concept in combinatorics, serving as a broader framework within which the multiplication principle operates. It can be thought of as a step-by-step guide to determining how many possibilities can result from a set of choices.

To apply the counting principle efficiently:
  • Break down the problem into stages or steps.
  • Identify the number of options available at each step.
  • Use the multiplication principle to find the total number of combinations by multiplying the number of choices at each stage.
It's a methodical approach, ensuring that all potential combinations are accounted for. The car color problem is textbook use of the counting principle: determining the number of distinct combinations when faced with multiple choices, and using multiplication to combine those possibilities.
Combinations
In combinatorics, combinations refer to the different ways of selecting items from a group, without regard to the order of selection. However, in our problem, we focus on combinations of car colors, where the order doesn’t play a role but every pairing does.

When people hear "combinations," they often think of more complex scenarios involving selecting items from larger sets where order doesn’t matter, calculated by factorial notation. Yet in many everyday scenarios like matching car exteriors with interiors, the approach is straightforward: enumerate the options and multiply them as guided by the multiplication and counting principles.

Understanding the idea of combinations helps clarify why and how different pairs form even simple settings. While the specifics can vary widely depending on context, from car interiors to arranging a schedule, the essence remains in the simplicity of choice and multiplication of options.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Mr. Wimply Dimple, one of London's most prestigious watch makers, has come to Sherlock Holmes in a panic, having discovered that someone has been producing and selling crude counterfeits of his best selling watch. The 16 counterfeits so far discovered bear stamped numbers, all of which fall between 1 and 56 , with the largest stamped number equaling \(56,\) and Dimple is anxious to know the extent of the forger's work. All present agree that it seems reasonable to assume that the counterfeits thus far produced bear consecutive numbers from 1 to whatever the total number is. "Chin up, Dimple," opines Dr. Watson. "I shouldn't worry overly much if I were you; the Maximum Likelihood Principle, which estimates the total number as precisely that which gives the highest probability for the series of numbers found, suggests that we guess 56 itself as the total. Thus, your forgers are not a big operation, and we shall have them safely behind bars before your business suffers significantly." "Stuff, nonsense, and bother your fancy principles, Watson," counters Holmes. "Anyone can see that, of course, there must be quite a few more than 56 watches - why the odds of our having discovered precisely the highest numbered watch made are laughably negligible. A much better guess would be twice \(56 . "\) (a) Show that Watson is correct that the Maximum Likelihood Principle gives 56 . (b) Write a computer program to compare Holmes's and Watson's guessing strategies as follows: fix a total \(N\) and choose 16 integers randomly between 1 and \(N\). Let \(m\) denote the largest of these. Then Watson's guess for \(N\) is \(m,\) while Holmes's is \(2 m\). See which of these is closer to \(N\). Repeat this experiment (with \(N\) still fixed) a hundred or more times, and determine the proportion of times that each comes closer. Whose seems to be the better strategy?

A lady wishes to color her fingernails on one hand using at most two of the colors red, yellow, and blue. How many ways can she do this?

Barbara Smith is interviewing candidates to be her secretary. As she interviews the candidates, she can determine the relative rank of the candidates but not the true rank. Thus, if there are six candidates and their true rank is \(6,1,4,2,3,5,\) (where 1 is best) then after she had interviewed the first three candidates she would rank them \(3,1,2 .\) As she interviews each candidate, she must either accept or reject the candidate. If she does not accept the candidate after the interview, the candidate is lost to her. She wants to decide on a strategy for deciding when to stop and accept a candidate that will maximize the probability of getting the best candidate. Assume that there are \(n\) candidates and they arrive in a random rank order. (a) What is the probability that Barbara gets the best candidate if she interviews all of the candidates? What is it if she chooses the first candidate? (b) Assume that Barbara decides to interview the first half of the candidates and then continue interviewing until getting a candidate better than any candidate seen so far. Show that she has a better than 25 percent chance of ending up with the best candidate.

In a ten-question true-false exam, find the probability that a student gets a grade of 70 percent or better by guessing. Answer the same question if the test has 30 questions, and if the test has 50 questions.

Use the program BinomialProbabilities to find the probability that, in 100 tosses of a fair coin, the number of heads that turns up lies between 35 and \(65,\) between 40 and \(60,\) and between 45 and \(55 .\)

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.