Probability and Statistics for Engineering and the Sciences Enhanced Webassign Access

Probability and Statistics for Engineering and the Sciences   Enhanced Webassign Access
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2017
Genre: Electronic Book
ISBN: 1337762024

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Introduction to Probability and Statistics for Engineers and Scientists

Introduction to Probability and Statistics for Engineers and Scientists
Author: Sheldon M. Ross
Publsiher: Unknown
Total Pages: 532
Release: 1987
Genre: Mathematics
ISBN: UOM:39015013026342

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Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.

Statistics and Probability with Applications for Engineers and Scientists

Statistics and Probability with Applications for Engineers and Scientists
Author: Bhisham C. Gupta,Irwin Guttman
Publsiher: John Wiley & Sons
Total Pages: 896
Release: 2013-04-29
Genre: Mathematics
ISBN: 9781118464045

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Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.

Probability and Statistics for Engineers and Scientists

Probability and Statistics for Engineers and Scientists
Author: Ronald E. Walpole,Raymond H. Myers,Sharon L. Myers,Keying Ye
Publsiher: Unknown
Total Pages: 0
Release: 2017
Genre: Engineering
ISBN: 0134115856

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For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding. This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. Also available with MyStatLab MyStatLab(tm) is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab(tm) & Mastering(tm) does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e Package consists of: 0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update 0321847997 / 9780321847997 My StatLab Glue-in Access Card 032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages

Introduction to Probability and Statistics for Engineers

Introduction to Probability and Statistics for Engineers
Author: Milan Holický
Publsiher: Springer Science & Business Media
Total Pages: 181
Release: 2013-08-04
Genre: Mathematics
ISBN: 9783642383007

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The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics. The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications. The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.

Probability and Statistics for the Engineering Computing and Physical Sciences

Probability and Statistics for the Engineering  Computing  and Physical Sciences
Author: Edward R. Dougherty
Publsiher: Unknown
Total Pages: 824
Release: 1990
Genre: Probabilities
ISBN: UOM:39015019814915

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Statistics for Engineering and the Sciences Student Solutions Manual

Statistics for Engineering and the Sciences Student Solutions Manual
Author: William M. Mendenhall,Terry L. Sincich,Nancy S. Boudreau
Publsiher: CRC Press
Total Pages: 458
Release: 2016-11-17
Genre: Mathematics
ISBN: 9781498731850

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A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

Probability and Statistics in Engineering and Management Science

Probability and Statistics in Engineering and Management Science
Author: William W. Hines,Douglas C. Montgomery
Publsiher: John Wiley & Sons
Total Pages: 772
Release: 1980
Genre: Engineering
ISBN: UOM:39015036241381

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* End-of-chapter summaries reinforce the main topics and goals of the chapter.