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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. For an introductory or one or two semester courses in Probability and Statistics or Applied Statistics for engineering, physical science, and mathematics students. An Applications-Focused Introduction to Probability and Statistics Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasises designed experiments, especially two-level factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarising students with the latest methods, and readying them to become real-world engineers and scientists.

Miller & Freund's Probability and Statistics for Engineers, Global Edition

• Title Page


• Copyright Page


• Contents


• Preface


• Chapter 1 Introduction


• 1.1 Why Study Statistics?


• 1.2 Modern Statistics


• 1.3 Statistics and Engineering


• 1.4 The Role of the Scientist and Engineer in Quality Improvement


• 1.5 A Case Study: Visually Inspecting Data to Improve Product Quality


• 1.6 Two Basic Concepts?Population and Sample


• Review Exercises


• Key Terms


• Chapter 2 Organization and Description of Data


• 2.1 Pareto Diagrams and Dot Diagrams


• 2.2 Frequency Distributions


• 2.3 Graphs of Frequency Distributions


• 2.4 Stem-and-Leaf Displays


• 2.5 Descriptive Measures


• 2.6 Quartiles and Percentiles


• 2.7 The Calculation of x and s


• 2.8 A Case Study: Problems with Aggregating Data


• Review Exercises


• Key Terms


• Chapter 3 Probability


• 3.1 Sample Spaces and Events


• 3.2 Counting


• 3.3 Probability


• 3.4 The Axioms of Probability


• 3.5 Some Elementary Theorems


• 3.6 Conditional Probability


• 3.7 Bayes? Theorem


• Review Exercises


• Key Terms


• Chapter 4 Probability Distributions


• 4.1 Random Variables


• 4.2 The Binomial Distribution


• 4.3 The Hypergeometric Distribution


• 4.4 The Mean and the Variance of a Probability Distribution


• 4.5 Chebyshev?s Theorem


• 4.6 The Poisson Distribution and Rare Events


• 4.7 Poisson Processes


• 4.8 The Geometric and Negative Binomial Distribution


• 4.9 The Multinomial Distribution


• 4.10 Simulation


• Review Exercises


• Key Terms


• Chapter 5 Probability Densities


• 5.1 Continuous Random Variables