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7.1: Introduction

  • Page ID
    129767
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    A roulette wheel.
    Figure 7.1 Roulette is a game whose outcomes are based entirely on the concept of probability. (credit: modification of work "Roulette wheel" by Håkan Dahlström/Flickr, CC BY 2.0)

    Chapter Outline

    7.1 The Multiplication Rule for Counting
    7.2 Permutations
    7.3 Combinations
    7.4 Tree Diagrams, Tables, and Outcomes
    7.5 Basic Concepts of Probability
    7.6 Probability with Permutations and Combinations
    7.7 What Are the Odds?
    7.8 The Addition Rule for Probability
    7.9 Conditional Probability and the Multiplication Rule
    7.10 The Binomial Distribution
    7.11 Expected Value

    Casinos are big business; according to the American Gaming Association, commercial casinos in the United States brought in over $43 billion in revenue in 2019. Casinos must walk a fine line in order to be profitable. Their customers must lose more money than they win, on average, in order to stay in business. But if the chances of a single customer winning more money than they lose is too small, people will stop coming in the door to play the games.

    In this chapter, we'll study the techniques a casino must use to determine how likely it is that a customer will win a particular game, and then how the casino decides how much money a winner will rake in so that the customers are happy, but the casino also turns a profit in the long run. In order to figure out those likelihoods, we have to be able to somehow consider every possible outcome of these games. For example, in a game that involves players receiving 5 cards from a deck of 52, there are 2,598,960 possibilities for each player. We'll start off this chapter by learning how to count those possible outcomes.


    This page titled 7.1: Introduction is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.

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