Problem 15 - Applied Mathematics: For the Managerial, Life, and Social Sciences

Question

The 2007 Toyota Camry comes with 5 grades of models, 2 sizes of engines, 4 choices of transmissions, 5 exterior colors, and 2 interior colors. How many choices of the Camry are available for a prospective buyer?

Step-by-Step Solution

Answer

There are 400 different choices available for a prospective buyer of the 2007 Toyota Camry.

Step 1: Identify the number of ways for each category

We are given the following information: - 5 grades of models (G = 5) - 2 sizes of engines (E = 2) - 4 choices of transmissions (T = 4) - 5 exterior colors (C = 5) - 2 interior colors (I = 2)

Step 2: Apply the counting principle

To find the total number of choices, we will multiply the number of ways for each category using the counting principle. Total Choices = G * E * T * C * I

Step 3: Calculate the total choices

Plugging the numbers into our formula: Total Choices = 5 (grades) * 2 (engines) * 4 (transmissions) * 5 (exterior colors) * 2 (interior colors) Total Choices = 400 There are 400 different choices available for a prospective buyer.

Key Concepts

Permutations and Combinations

Understanding permutations and combinations is crucial when dealing with scenarios where order and grouping play roles in the total number of outcomes. Permutations concern themselves with the arrangement of elements where order is significant. For example, the permutation of letters A, B, and C as ABC is different from ACB. In contrast, combinations deal with groupings where the order does not matter; ABC represents the same combination as BCA.

In the case of the Toyota Camry problem, we consider combinations because the order in which the features (model grade, engine size, etc.) are chosen does not matter; selecting a grade and then a color is the same as selecting a color before a grade. However, since each feature category can be considered independently of the others, the situation does not require the use of advanced combination calculations. Instead, we use the basic counting principle, treating each independent choice as a factor in the total number of unique combinations.

Applied Mathematics

Applied mathematics involves using mathematical principles to solve real-world problems. It differs from pure mathematics, which focuses on abstract theories and concepts. In our example with the Toyota Camry, applied mathematics comes into play when we translate a practical question — how many unique configurations can a Camry have — into a mathematical operation.

Here, each car feature represents a category that can be quantified and included in a calculation to determine the total possibilities. The counting principle tells us to multiply the quantity of options across categories to find the sum of all unique configurations. Every time the choices in one category are made, they can be combined with all the possibilities from the other categories. This method of forming combinations is fundamental in applied mathematics, demonstrating how even simple multiplication can translate to powerful problem-solving techniques.

Problem-Solving Strategies

Effective problem-solving strategies provide a framework to approach and untangle complex scenarios. In our textbook exercise, the problem-solving process involves several clear steps. Firstly, we identify individual elements of the problem, such as different grades, engines, colors, etc. Then, we select an appropriate mathematical principle — the counting principle — and apply it to these elements methodically.

Breaking Down Complex Problems

Complex problems often become more manageable when broken down into smaller, more manageable parts. In our example, by considering each car feature separately, we simplify the problem-solving process. This foundational strategy not only reinforces understanding but also minimizes errors and oversights.

Application of Mathematical Principles

Knowing when and how to apply specific mathematical principles, such as the counting principle, is a valuable skill in problem-solving. It bridges the gap between a theoretical concept and practical application, allowing us to arrive at a conclusive answer efficiently.