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For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. 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.   The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Probability & Statistics for Engineers & Scientists, Global Edition

• Title Page


• Copyright Page


• Dedication


• Contents


• Preface


• Acknowledgments


• Acknowledgments for the Global Edition


• 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 Diagnostics


• 1.7 General Types of Statistical Studies: Designed Experiment, Observational Study, and Retrospectiv


• 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 the Product Rule


• Exercises


• 2.7 Bayes' 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 Mea