Probability and Statistics for Engineering and the Sciences
By Jay L. Devore
About your course materials
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.
Related study tools
Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences, 9th
This manual provides worked-out, step-by-step solutions to the odd-numbered exercises in the text, giving students a way to check their answers and make sure they took the correct steps to arrive at…
WebAssign Instant Access for Devore's Probability and Statistics for Engineering and the Sciences, Single-Term
WebAssign for Probability and Statistics for Engineering and the Sciences is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, enab…
WebAssign R Manual for Devore's Probability and Statistics for Engineering and the Sciences, Single-Term Instant Access
WebAssign for Probability and Statistics for Engineering and the Sciences is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, enab…
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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
1. Overview and Descriptive StatisticsPreview this chapter
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