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Statistics for Engineering and the Sciences (4th Edition),Used
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This book illustrates basic statistical concepts with extensive applications in engineering and scientific contexts. The book includes optional theoretical exercises, allowing readers who choose to emphasize theory to do so with requiring additional materials. The fourth edition contains SAS and MINITAB computer printout results for all analyses performed?plus new exercises based on magazine and journal articles and news reports. KEY TOPICS: A section on "Detecting Normal Distributions" (Chapter 5) gives readers insights on when it is reasonable to assume that underlying data is normally distributed. There is a comprehensive example on model building (Chapter 13) and emphasis on the regression approach to a Nova (also presents the traditional approach). There are two sections discussing principles of experimental design, i.e., noisereducing and volumeincreasing design, a section on "Total Quality Management" and coverage of statistical computing. There are optional, calculusbased theoretical exercises, and real data sets, extracted from scientific studies, are provided in an appendix. Numerical answers to all applied exercises are included in an appendix?giving readers immediate feedback on their work.
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- Q: What are the dimensions of the book? A: The book measures eight point seven four inches in length, one point seven three inches in width, and nine point seven six inches in height.
- Q: How many pages does this book have? A: This book contains one thousand eight pages, providing extensive coverage of statistical concepts and applications.
- Q: What type of binding does the book have? A: The book is bound in hardcover, ensuring durability for frequent use.
- Q: Who is the author of this book? A: The author of this book is William Mendenhall, a recognized figure in the field of statistics.
- Q: What statistical concepts does this book cover? A: This book covers basic statistical concepts with applications in engineering and scientific contexts, including regression and experimental design.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners, as it illustrates basic statistical concepts and includes optional theoretical exercises.
- Q: Can I find exercises in this book? A: Yes, the book includes new exercises based on magazine and journal articles and news reports to enhance learning.
- Q: What kind of data sets are provided in the book? A: The book provides real data sets extracted from scientific studies in an appendix, facilitating practical application.
- Q: Does this book include answers to exercises? A: Yes, numerical answers to all applied exercises are included in an appendix for immediate feedback.
- Q: Is there a section on experimental design? A: Yes, the book includes two sections discussing principles of experimental design, focusing on noise-reducing and volume-increasing design.
- Q: What is the focus of Chapter 5? A: Chapter 5 focuses on detecting normal distributions, helping readers understand when underlying data is normally distributed.
- Q: Are there computer printout results in the book? A: Yes, the fourth edition contains SAS and MINITAB computer printout results for all analyses performed.
- Q: What is the main theme of this book? A: The main theme of this book is the application of statistical methods in engineering and scientific contexts.
- Q: Does the book emphasize theoretical exercises? A: Yes, there are optional calculus-based theoretical exercises available for readers who want to emphasize theory.
- Q: Is this book appropriate for advanced readers? A: Yes, while it's suitable for beginners, advanced readers can benefit from the optional theoretical exercises and comprehensive examples.
- Q: What publisher released this book? A: This book is published by Pearson College Div, a reputable publisher in educational materials.