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Probability and Statistics for Engineering and the Sciences

By Jay L. Devore

9th Edition © 2016
Discipline:Statistics
Course:Introductory Statistics
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Make statistics relevant and practical for students in any discipline of engineering or science with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a market leader, this calculus-based text offers a comprehensive introduction to probability and statistics that emphasizes concepts, models, and methodology while also including underlying rationale, where appropriate. (Translation: this is not simply a cookbook!). Jay Devore, an award-winning professor and internationally recognized author and statistician, includes a plethora of authentic problem scenarios in examples and exercises, many of which utilize real data. Proven and accurate, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition, also includes output, graphics, and screen shots from various statistical software packages, giving students a solid perspective of statistics in action.

NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone.

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AboutTable of contentsResourcesPricing & formatsRelated products

About this product

Make statistics relevant and practical for students in any discipline of engineering or science with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a market leader, this calculus-based text offers a comprehensive introduction to probability and statistics that emphasizes concepts, models, and methodology while also including underlying rationale, where appropriate. (Translation: this is not simply a cookbook!). Jay Devore, an award-winning professor and internationally recognized author and statistician, includes a plethora of authentic problem scenarios in examples and exercises, many of which utilize real data. Proven and accurate, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition, also includes output, graphics, and screen shots from various statistical software packages, giving students a solid perspective of statistics in action.

NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone.

Helpful Study Aids: Sample exams and a glossary of symbols and acronyms give students the experience and confidence they need to master concepts and ace exams.

Key Focal Points: The author emphasizes the critical role that variation plays in statistics, including the nature of variation in the slope estimate in simple linear regression, and includes a detailed description of pooled t procedures for analysis.

Sampling Simulations: "Simulation Experiments" in the text help students understand sampling distributions and the insights to gain from them, particularly when derivations are too complex to carry out.

Computer Focus: An abundance of computer output from various statistical software packages supports student understanding of data analysis in the real world, while Java™ Applets specifically designed for this calculus-based text demonstrate statistics visually.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Dedication
About the Author
Preface
Acknowledgments
1. Overview and Descriptive Statistics*Preview this chapter
2. Probability
3. Discrete Random Variables and Probability Distributions
4. Continuous Random Variables and Probability Distributions
5. Joint Probability Distributions and Random Samples
6. Point Estimation
7. Statistical Intervals Based on a Single Sample
8. Tests of Hypotheses Based on a Single Sample
9. Inferences Based on Two Samples
10. The Analysis of Variance
11. Multifactor Analysis of Variance
12. Simple Linear Regression and Correlation
13. Nonlinear and Multiple Regression
14. Goodness-of-Fit Tests and Categorical Data Analysis
15. Distribution-Free Procedures
16. Quality Control Methods
Appendix Tables
Glossary of Symbols/Abbreviations
Show more

1. Overview and Descriptive StatisticsPreview this chapter ↗

1.1
Populations, Samples, and Processes
Preview this section ↗
Branches of Statistics ↗
The Scope of Modern Statistics ↗
Enumerative versus Analytic Studies ↗
Collecting Data ↗
Exercises Section 1.1. (1–9) ↗
1.2
Pictorial and Tabular Methods in Descriptive Statistics
Preview this section ↗
Notation ↗
Stem-and-Leaf Displays ↗
Dotplots ↗
Histograms ↗
Histogram Shapes ↗
Qualitative Data ↗
Multivariate Data ↗
Exercises Section 1.2. (10–32) ↗
1.3
Measures of Location
Preview this section ↗
The Mean ↗
The Median ↗
Other Measures of Location: Quartiles, Percentiles, and Trimmed Means ↗
Categorical Data and Sample Proportions ↗
Exercises Section 1.3. (33–43) ↗
1.4
Measures of Variability
Preview this section ↗
Measures of Variability for Sample Data ↗
Motivation for s2 ↗
A Computing Formula for s2 ↗
Boxplots ↗
Boxplots That Show Outliers ↗
Comparative Boxplots ↗
Exercises Section 1.4. (44–61) ↗
Supplementary Exercises. (62–83) ↗
Bibliography ↗
Show more

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