| Description |
1 online resource : illustrations (black and white) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface; Acknowledgments; 1: Basic Concepts in Probability; 1.1 Sample Spaces, Events, and Probabilities; 1.2 Simulations; 1.3 Complementary Events and Mutually Exclusive Events; 1.4 Some Probability Rules; 1.5 Problem Solving; 1.6 Problems; 2: Conditional Probability and the Multiplication Rule; 2.1 Conditional Probability; 2.2 Multiplication Rule; 2.3 Problems; 3: Independence; 3.1 Independence; 3.2 A Technique for Finding P(A or B or C or ...); 3.3 Problems; 4: Combining the Addition and Multiplication Rules |
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4.1 Combining the Addition and Multiplication Rules4.2 Bayes' Formula; 4.3 Trees; 4.4 Problems; 5: Combining the Addition and Multiplication Rules-Applications; 5.1 Simpson's Paradox; 5.2 Randomized Response Designs; 5.3 Applications in Cryptology; 5.4 Hardy-Weinberg Principle; 5.5 Problems; 6: Random Variables, Distributions, and Expected Values; 6.1 Random Variables, Distributions, and Expected Values; 6.2 Problems; 7: Joint Distributions and Conditional Expectations; 7.1 Joint Distributions; 7.2 Independent Random Variables; 7.3 Conditional Distributions; 7.4 Conditional Expectations |
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7.5 Problems8: Sampling without Replacement; 8.1 Counting Formula; 8.2 Probabilities for Sampling without Replacement; 8.3 Problems; 9: Sampling with Replacement; 9.1 Binomial Model; 9.2 Problems; 10: Sampling with Replacement Applications; 10.1 Binomial Model Applications; 10.2 Problems; 11: Binomial Tests; 11.1 Introduction; 11.2 Binomial Tests; 11.3 Problems; Appendix; Short Answers to Selected Exercises; Bibliography; Index |
| Summary |
This title shows students how probability has practical uses in many different fields, such as business, politics, and sports. In the book, students learn about probability concepts from real-world examples rather than theory. The text explains how probability models with underlying assumptions are used to model actual situations. Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such as business, politics, and sports. In the book, students learn about probability concepts from real-world examples rather than theory. The text explains how probability models with underlying assumptions are used to model actual situations. It contains examples of probability models as they relate to: Bloc voting Population genetics Doubling strategies in casinos Machine reliability Airline management Cryptology Blood testing Dogs resembling owners Drug detection Jury verdicts Coincidences Number of concert hall aisles 2000 U.S. presidential election Points after deuce in tennis Tests regarding intelligent dogs Music composition Based on the author's course at The College of William and Mary, the text can be used in a one-semester or one-quarter course in discrete probability with a strong emphasis on applications. By studying the book, students will appreciate the subject of probability and its applications and develop their problem-solving and reasoning skills |
| Notes |
CIP data; item not viewed |
| Subject |
Probabilities.
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probability.
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Probabilities
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| Form |
Electronic book
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| ISBN |
9781498771344 |
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1498771343 |
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9781498771337 |
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1498771335 |
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9781498771351 |
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1498771351 |
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9781315319940 |
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1315319942 |
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9781315367149 |
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1315367149 |
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