Probability and statistics for engineering and the sciences / Jay Devore
Material type:
- 9781305251809
- QA 273 .D46 2016

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main General Circulation | Electronics and Communications Engineering | GC QA 273 .D46 2016 (Browse shelf(Opens below)) | c.1 | Available | NULIB000013593 |
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GC QA 371.32 .B76 2014 Differential equations / | GC QA 261 .C65 2012 Vector calculus / | GC QA 261 .G67 2015 Vector calculus / | GC QA 273 .D46 2016 Probability and statistics for engineering and the sciences / | GC QA 273 .H64 2015 Probability and statistical inference / | GC QA 273 .P57 2014 Introduction to probability : statistics and random processes / | GC QA 303 .M37 2012 Vector calculus / |
Includes bibliographical references and index.
Overview and descriptive statistics -- Probability -- Discrete random variables and probability distributions -- Continuous random variables and probability distributions -- Joint probability distributions and random samples -- Point estimation -- Statistical intervals based on a single sample -- Tests of hypotheses based on a single sample -- Inferences based on two samples -- The analysis of variance -- Multifactor analysis of variance -- Simple linear regression and correlation -- Nonlinear and multiple regression -- Goodness-of-fit tests and categorical data analysis -- Distribution-free procedures -- Quality control methods -- Appendix tables -- Answers to selected odd-numbered exercises -- Glossary of symbols/abbreviations.
Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available.
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