/*! 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 124 A restaurant menu has four kinds... [FREE SOLUTION] | 91Ó°ÊÓ

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A restaurant menu has four kinds of soups, eight kinds of main courses, five kinds of desserts, and six kinds of drinks. If a customer randomly selects one item from each of these four categories, how many different outcomes are possible?

Short Answer

Expert verified
The total number of different outcomes possible is \( 4 * 8 * 5 * 6 = 960 \)

Step by step solution

01

Identify Choices

Firstly, recognize the number of choices in each category: 4 kinds of soups, 8 kinds of main courses, 5 kinds of desserts, and 6 kinds of drinks.
02

Apply Multiplication Principle

The multiplication principle implies that you can find the total number of combinations by multiplying the number of choices in each category. That is, the total number of combinations equals to the product of the number of soups, main courses, desserts, and drinks.
03

Calculate Total Outcomes

Using the multiplication principle, calculate the total possible outcomes: \( 4* 8* 5* 6 \)

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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 foundational concept in combinatorics and is pivotal for solving problems like the one outlined in the exercise. It states that if you have multiple independent categories of choices, the total number of combinations is found by multiplying the number of options in each category.
This concept is often described with the formula:
  • If there are \( a \) options in one category, \( b \) options in another, etc.,
  • The total combinations possible is \( a \times b \times \, \text{...} \, \).
In our exercise, the customer chooses one item from each of the following categories: 4 soups, 8 main courses, 5 desserts, and 6 drinks. By using the Multiplication Principle, we calculate the total number of outcomes as \( 4 \times 8 \times 5 \times 6 \).
This provides the final count of unique meal combinations a customer can enjoy, highlighting how this principle helps break down complex decision-making scenarios into manageable calculations.
Probability
Probability often plays a significant role when you're randomly selecting options, as in the exercise. Although not asked directly, understanding probability can enhance comprehending how choices affect chances.
Probability quantifies how likely an event is to occur and is calculated by dividing the number of favorable outcomes by the total possible outcomes.
  • For instance, if the customer wanted to pick a specific main course out of the 8 available, the probability of selecting this specific dish would be \( \frac{1}{8} \).
Extending this to all categories might involve calculating the probability of a particular meal combination happening. This requires multiplying the probabilities of chosen items across different categories.
Knowing these principles ensures a deeper understanding of the likelihoods involved when interacting with different choices in combinatorial settings.
Counting Techniques
Counting Techniques are crucial for determining how many ways you can arrange or select items, often using principles like the Multiplication Principle. They involve various methods depending on the problem:
  • Basic counting: Simply counting the number of available options, like determining 4 soups, 8 main courses, etc.
  • Permutations: Used when order matters, not needed in our menu scenario.
  • Combinations: Used when order does not matter, directly relevant as we calculate total choices from categories.
For the restaurant menu exercise, basic counting combined with the Multiplication Principle forms the primary technique. By identifying the number of options in each category and multiplying them, we arrive at the solution efficiently.
Proper use of these techniques aids in solving many combinatorial problems, both in academics and real-world applications.

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Most popular questions from this chapter

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