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# Probability and Statistics for Engineering and the Sciences by Jay L. Devore — Free book

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## About This Edition

### New Features

### Additional Features

### See this title's supplement:

Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences, Eighth Edition

## About book:

## About file:

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This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, *Probability and Statistics for Engineering and the Sciences* evidences Jay Devore's reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics; they also learn how to put statistical methods to use.

- More than 40 new examples and 100 new problems were carefully researched and written using the most up-to-date real data.
- Chapter 1, ''Overview and Descriptive Statistics,'' contains a new subsection, ''The Scope of Modern Statistics,'' which describes and exemplifies how statistics is used in modern disciplines.
- A significantly revised and simplified Chapter 8, ''Tests of Hypotheses Based on a Single Sample,'' also has a new subsection entitled ''More on Interpreting P-values.''
- Wherever possible throughout the book, the language has been tightened and simplified to improve clarity.

- ''Simulation Experiments'' help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
- Strong computer coverage, especially with ANOVA and regression, is supported by an abundance of computer output from SAS
^{®}and MINITAB^{®}and coverage of computer methods. Inclusion of Java^{TM}Applets from Gary McClelland's*Seeing Statistics*, specifically designed for this calculus-based text, allows students to experience statistics firsthand. - Sample exams help students build confidence and master concepts prior to taking class exams; the glossary of symbols/acronyms, which includes text page references, is another useful study aid.
- Several exercises refer to material covered in earlier sections and chapters, allowing students to more easily see the connections between concepts.
- Virtually every example and exercise has a real-world context. Real data in exercises and examples stimulate students' interest and enhance their comprehension of concepts.
- Notable content includes a strong emphasis on the role that variation plays in statistics, emphasis on the nature of variation in the slope estimate in simple linear regression, and inclusion of a detailed description of pooled t procedures to provide a balance between un-pooled and pooled analyses.

- Author:
**Jay L. Devore** - Year:
**2011** - Publisher:
**Cengage Learning** - Language:
**English** - ISBN:
**0-538-73352-7,978-0-538-73352-6**

- File size:
**12 390 663** - Format:
**pdf**

Security code:

This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross shows how probability yields insight into statistical problems, resulting in an intuitive understanding of t...

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about stat...

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about stat...

This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space – a non-intrinsic concept t...

This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. The book covers a wide range of topics from Markov chain theory and weak dependence with an emphasis on some recent developments ...

If you are looking for a quick nuts-and-bolts overview, turn to Schaum's Easy Outlines!Schaum's Easy Outline of Probability and Statistics is a pared-down, simplified, and tightly focused review of the topic. With an emphasis on clarity and brevity, it fe...

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs w...

This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations enginee...

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic relates fundamental concepts in probability and statistics to th...

Probability and Statistics are studied by most science students. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is t...

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Pro XML Development with Java Technology has been written to help you, the professional Java developer who needs a practical hands-on guide to marrying these technologies together effectively. There are a lot of books out there, but none really explore th...

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Designed for an intermediate undergraduate course, Probability and Statistics with R shows students how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-worl...