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 statistics--you'll also learn how to put the stat
Probability and Statistics for Engineering and the Sciences
โ Scribed by Jay L. Devore
- Publisher
- Cengage Learning;Brooks Cole;Cengage
- Year
- 2016
- Tongue
- English
- Leaves
- 794
- Edition
- 9ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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
โฆ Table of Contents
Content: 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 hypothesis 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.
โฆ Subjects
Probabilities;Statistics;Mathematical statistics;Engineering -- Statistical methods
๐ SIMILAR VOLUMES
Probability and Statistics for Engineering and the Sciences (8th Edition)
amazon kindle version