Authors | |

Publisher | Pearson Education |

Year | 01/01/2021 |

Edition | 9 |

Version | mixed media |

Readership level | College/higher education |

Language | English |

ISBN | 9781292161440 |

Categories | Probability & statistics |

Replaces | 9781292161433 |

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*For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.*

This package includes MyStatLab^{Â?}.

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

**This package includes ****MyStatLab ^{â?˘},** an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Probability & Statistics for Engineers & Scientists plus MyStatLab with Pearson eText, Global Edition

Preface

**1. Introduction to Statistics and Data Analysis**

1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability

1.2 Sampling Procedures; Collection of Data

1.3 Measures of Location: The Sample Mean and Median

Exercises

1.4 Measures of Variability

Exercises

1.5 Discrete and Continuous Data

1.6 Statistical Modeling, Scientific Inspection, and Graphical Methods 19

1.7 General Types of Statistical Studies: Designed Experiment,

Observational Study, and Retrospective Study

Exercises

**2. Probability**

2.1 Sample Space

2.2 Events

Exercises

2.3 Counting Sample Points

Exercises

2.4 Probability of an Event

2.5 Additive Rules

Exercises

2.6 Conditional Probability, Independence and Product Rules

Exercises

2.7 Bayesâ?? Rule

Exercises

Review Exercises

2.8 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

**3. Random Variables and Probability Distributions**

3.1 Concept of a Random Variable

3.2 Discrete Probability Distributions

3.3 Continuous Probability Distributions

Exercises

3.4 Joint Probability Distributions

Exercises

Review Exercises

3.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

**4. Mathematical Expectation**

4.1 Mean of a Random Variable

Exercises

4.2 Variance and Covariance of Random Variables

Exercises

4.3 Means and Variances of Linear Combinations of Random Variables 127

4.4 Chebyshevâ??s Theorem

Exercises

Review Exercises

4.5 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters

**5. Some Discrete Probability Distributions**

5.1 Introduction and Motivation

5.2 Binomial and Multinomial Distributions

Exercises

5.3 Hypergeometric Distribution

Exercises

5.4 Negative Binomial and Geometric Distributions

5.5 Poisson Distribution and the Poisson Process

Exercises

Review Exercises

5.6 Potential Misconceptions and Hazards; Relationship to Material in