Applied Statistics for Engineers and Scientists

Using Microsoft Excel and Minitab

Author: David M. Levine,Patricia P. Ramsey,Robert K. Smidt

Publisher: Pearson

ISBN: N.A

Category: Computers

Page: 671

View: 905

This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics–without a high level of mathematical sophistication. Please Note: The CD-ROM originally included is no longer available. However, the data files can be downloaded at www.prenhall.com/sincich. And the PHStat2 content can be purchased standalone.

Statistics for Managers Using Microsoft Excel

Author: David M. Levine,Kathryn A. Szabat,David Stephan

Publisher: N.A

ISBN: 9780134173054

Category: Commercial statistics

Page: 728

View: 4128

For one- or two-semester business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. Also available with MyStatLab(tm) MyStatLab 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: 0134465970 / 9780134465975 Statistics for Managers Using Microsoft Excel Plus MyStatLab with Pearson eText -- Access Card Package, 8/e Package consists of: 0134173058 / 9780134173054 Statistics for Managers Using Microsoft Excel 032192147X / 9780321921475 MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyStatLab for Business Statistics Sticker

Statistics for Six SIGMA Green Belts with Minitab and Jmp (Paperback)

Author: David M. Levine

Publisher: Prentice Hall

ISBN: 9780137017126

Category: Business & Economics

Page: 400

View: 8751

The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. Includes applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries. Acknowledgments xvii About the Author xix Preface xxi Chapter 1: Fundamentals of Six Sigma 1 Chapter 2: Introduction to Statistics 7 Chapter 3: Presenting Data in Charts and Tables 23 Chapter 4: Descriptive Statistics 39 Chapter 5: Probability and Probability Distributions 59 Chapter 6: Sampling Distributions and Confidence Intervals 95 Chapter 7: Hypothesis Testing 113 Chapter 8: Design of Experiments 157 Chapter 9: Simple Linear Regression 211 Chapter 10: Multiple Regression 241 Chapter 11: Control Charts for Six Sigma Management 279 Appendix A: Review of Arithmetic and Algebra 321 Appendix B: Summation Notation 329 Appendix C: Statistical Tables 333 Appendix D: Documentation of Data Files 347 Glossary 349 Index 359

Applied Statistics and Probability for Engineers, Student Solutions Manual

Author: Douglas C. Montgomery,George C. Runger

Publisher: John Wiley & Sons

ISBN: 047088844X

Category: Technology & Engineering

Page: 398

View: 4511

Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets that reflect realistic situations, students learn how the material will be relevant in their careers. With a focus on how statistical tools are integrated into the engineering problem-solving process, all major aspects of engineering statistics are covered. Developed with sponsorship from the National Science Foundation, this text incorporates many insights from the authors' teaching experience along with feedback from numerous adopters of previous editions.

Even You Can Learn Statistics and Analytics

An Easy to Understand Guide to Statistics and Analytics

Author: David M. Levine,David F. Stephan

Publisher: FT Press

ISBN: 0133382680

Category: Business & Economics

Page: 384

View: 5311

Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics – for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you’ll need for finance, marketing, quality, science, social science, and more – one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever – all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models – including complete solutions you can put right to work! Learn how to do all this, and more: Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!

Applied Statistical Inference with MINITAB®

Author: Sally Lesik,Sally A. Lesik

Publisher: CRC Press

ISBN: 142006584X

Category: Mathematics

Page: 464

View: 5884

Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis. Illustrates the techniques and methods using MINITAB After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan–Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis. Establishes a foundation for studying more complex topics Ideal for students in the social sciences, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for students to build on work in more advanced inferential statistics.

Six Sigma Statistics with EXCEL and MINITAB

Author: Issa Bass

Publisher: McGraw Hill Professional

ISBN: 9780071542685

Category: Business & Economics

Page: 374

View: 8325

Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills! Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time. Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab...decide on sampling strategies, sample size, and confidence intervals...apply hypothesis tests to compare variance, means, and proportions...conduct a regression and residual analysis...design and analyze an experiment...and much more. Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features: Easy-to-follow explanations of powerful Six Sigma tools A wealth of exercises and case studies 200 graphical illustrations for Excel and Minitab Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can: Acquire the basic tools for data collection, organization, and description Learn the fundamental principles of probability Create and interpret dot plots, histograms, and box plots using Minitab Decide on sampling strategies, sample size, and confidence intervals Apply hypothesis tests to compare variance, means, and proportions Stay on top of production processes with statistical process control Use process capability analysis to ensure that processes meet customers' expectations Employ analysis of variance to make inferences about more than two population means Conduct a regression and residual analysis Design and analyze an experiment In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method...use measurement system analysis to find out if measurement processes are accurate...discover how to test ordinal or nominal data with nonparametric statistics...and apply the full range of basic quality tools. Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab.

Applied Statistics for Engineers and Scientists

Author: Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi

Publisher: Cengage Learning

ISBN: 113311136X

Category: Mathematics

Page: 656

View: 1685

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Practical Statistics by Example Using Microsoft Excel and MINITAB

Author: Terry Sincich,David M. Levine,David Stephan

Publisher: Pearson College Division

ISBN: 9780130415219

Category: Computers

Page: 789

View: 2608

This book integrates technology into the practical introduction of statistics — both Microsoft Excel and MINITAB are incorporated as tools for data analysis. These Excel and MINITAB tutorials give users access to step-by-step instructions and screen shots for using the software to perform the statistical techniques presented in the chapter. Real-world applications and critical thinking skills are emphasized throughout that will allow readers to realize greater success in the workplace.Reorganized content — Rank tests are integrated throughout, dot plots added in Chapter 2, cumulative binomial tables added to appendix, section on the normal approximation to the binomial distribution added to Chapter 6, and goodness-of-fit test of multinomial category probabilities added to Chapter 8. For use as an introduction to statistics reference with a background in college algebra.

Business and Financial Statistics Using Minitab 12 and Microsoft Excel 97

Author: John C. Lee

Publisher: World Scientific

ISBN: 9789810238797

Category: Business & Economics

Page: 353

View: 7474

The personal computer has made statistical analysis easier and cheaper. Previously, statistical analysis was difficult for many reasons. Two of the reasons were: (1) statistical analysis was slow and tedious because calculations were done by hand; (2) it was costly because it was done on mainframes and mainframe time was expensive. This book discusses statistical analysis using two personal computer software packages, Minitab 12 and Microsoft Excel 97, Minitab was chosen because it is powerful and is one of the more user-friendly statistical software packages. Microsoft Excel 97 was selected because it is one of the most important software packages to learn and most companies use Microsoft Excel. Excel is a software package that is not dedicated to statistical analysis like Minitab, but it has many statistical features and a very powerful development environment for writing customized statistical analysis. The book is organized in a textbook format. Each chapter discusses statistical conceptsand illustrates the use of Minitab and/or Excel. Often it becomes necessary to write macros (programs) in order to do specific statistical analysis. This books prints the codes of the macros for the reader to use and study. This is valuable because usually the difficult part is how to write the code. What the reader will find after studying this book is that statistical analysis will become more fun because he will have more time doing statistical analysis and make less statistical calculations.

Basic Business Statistics

Concepts and Applications

Author: Mark L. Berenson,David M. Levine,Kathryn A. Szabat

Publisher: Pearson Higher Ed

ISBN: 032194724X

Category: Mathematics

Page: 840

View: 5963

Note: You are purchasing a standalone product; MyStatLab does not come packaged with this content. If you would like to purchase both the physical text and MyStatLab, search for ISBN-10: 0133869466 / ISBN-13: 9780133869460. That package includes ISBN-10: 0321870026/ISBN-13: 9780321870025, ISBN-10: 032192147X/ISBN-13: 9780321921475 and ISBN-10: 0321929713/ISBN-13: 9780321929716. MyStatLab is not a self-paced technology and should only be purchased when required by an instructor. Statistics is essential for all business majors and this text helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by principles set by major statistical and business science associations (ASA and DSI), plus the authors’ diverse teaching experiences, the Thirteenth Edition of Berenson/Levine/Szabat’s Basic Business Statistics continues to innovate and improve the way this course is taught to all students.

Statistics for Management and Economics + XLSTAT Bind-in

Author: Gerald Keller

Publisher: Cengage Learning

ISBN: 1337093459

Category: Business & Economics

Page: 992

View: 8317

Discover how statistical methods and tools are vital for today's managers as you learn how to apply these tools to real business problems. STATISTICS FOR MANAGEMENT AND ECONOMICS, 11E emphasizes applications over calculation using a proven three-step ICI approach to problem solving. Readers learn how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics by hand or using Excel or XLSTAT; and how to INTERPRET results in the context of the problem. Extensive data-driven examples, exercises, and cases address the functional areas of business and demonstrate how marketing managers, financial analysts, accountants, and economists rely on statistical applications. Engaging cases focus on climate change and the relationship between payroll and wins in professional sports, while dozens of exercises feature the returns on 40 stocks, which are used to develop the market model and portfolio diversification. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Probability and Statistics for Computer Scientists, Second Edition

Author: Michael Baron

Publisher: CRC Press

ISBN: 1498760600

Category: Mathematics

Page: 449

View: 2561

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.

An Introduction to Statistical Methods and Data Analysis

Author: R. Lyman Ott,Micheal T. Longnecker

Publisher: Cengage Learning

ISBN: 1305465520

Category: Mathematics

Page: 1296

View: 2563

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Six Sigma for Green Belts and Champions

Foundations, DMAIC, Tools, Cases, and Certification

Author: Howard S. Gitlow,David M. Levine

Publisher: Financial Times/Prentice Hall

ISBN: 9780131172623

Category: Business & Economics

Page: 705

View: 8527

"Much has been said or written in recent times about the value of Six Sigma methodologies in driving organizational improvement. Yet, so many still seem to be intimidated by or skeptical about these principles and tools. In this text, Drs. Gitlow and Levine have provided a pragmatic, user-friendly treatment of underlying principles and methods, management obligations, and helpful case study examples to assist all of us in value-added enterprise-wide improvement." -Gary Floss, Managing Director, Bluefire Partners, and Board of Directors, the American Society for Quality (ASQ) "The authors provide the perfect blend of managerial insight and a straightforward "how to" approach to statistics. Anyone interested in learning about Six Sigma for the first time, or practitioners wanting to learn more, will find this book to-the-point, exciting, and easy to read. And also hard to put down!" -Timothy C. Krehbiel, Professor of Decision Sciences and MIS, Miami University (Ohio) "This book provides an excellent understanding of the foundations of quality management that provide a basis for the evolution of Six Sigma. For executives who wish to be "Champions" of Six Sigma, this book provides an understanding of what to expect of Green Belts as they work through a DMAIC project and what they should expect of themselves. Green Belt candidates will find the case studies extremely useful and informative. Both Champions and Green Belts will benefit from the comprehensive coverage of certification." -Edward A. Popovich, Ph. D., Vice President, Enterprise Excellence, Boca Raton Community Hospital and President, Sterling Enterprises International, Inc. The first complete Six Sigma implementation guide for Green Belts and Champions! Understand the rationale for Six Sigma Implement a proven executive framework for a successful quality initiative Use the DMAIC method for improvement from start to finish: Define, Measure, Analyze, Improve, and Control Manage Six Sigma statistics-without becoming a statistician Learn through complete detailed manufacturing and service case studies Learn how to understand and manage Six Sigma statistics, through practical, Minitab-based application examples. Includes instructions for using Minitab software Learn how to pass Six Sigma certification examinations with sample questions and answers If you're "project managing" Six Sigma (potential Green Belt)-or promoting it at the executive level (potential Champion)-this is your book. It's the first Six Sigma book written specifically for Green Belts, Champions...and anyone who plans to become one. Two experts help you master the entire DMAIC model: Define, Measure, Analyze, Improve, and Control. You'll discover realistic solutions for Six Sigma's profound human and technical challenges. You can even prepare for one of the world's leading Six Sigma certification programs. Clear, detailed, and proven...this is the one indispensable book for anyone who must manage Six Sigma to success. © Copyright Pearson Education. All rights reserved.

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

Author: Mark Harmon

Publisher: Mark Harmon

ISBN: 0983307083

Category: Computers

Page: N.A

View: 7788

Complete and practical yet easy-to-understand graduate-level statistics course with all of the problems worked out in Excel. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. Loaded with completed, real-world problems all in Excel, this e-manual is an outstanding supplement to a graduate statistics course. Very clear explanations are used to show exactly how the Excel formulas integrate with the statistical frameworks being applied. The reader will learn how to master and apply graduate-level statistics much faster than a student in a normal graduate statistics course because this e-manual's emphasis is entirely on problem solving, not on useless, forgettable theory that fills up many statistics courses. This e-manual achieves two goals: teaching graduate-level statistical frameworks in an easy-to-understand way and then showing how to implement all of it in Excel. The widely-used Microsoft Excel program provides a very simple but incredibly complete platform to perform heavy-duty, advanced statistical analysis. All other statistical software packages, such as Minitab, SyStat, and SPSS, are expensive, require lots of user training, and expect that the user is an expert statistician right from the start. Not this e-manual nor Microsoft Excel. The ability to perform graduate-level statistics in Excel is an extremely useful and powerful tool for any graduate statistics student and business manager. Homework assignments can be quickly checked with Excel. Once difficult statistical business problems are now readily solvable in Excel. The easy-to-follow frameworks in this e-manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. The lessons are all in bite-size chunks that are quickly absorbed for immediate use. More than half of the lessons in this e-manual are supplemented with step-by-step videos for more convenient learning. Some of the major topics covered in detail include regression, ANOVA, hypothesis tests, confidence intervals, combinations, permutations, correlation, covariance, t-tests, histograms, and charting. This e-manual also contains two complete chapters with numerous videos showing exactly how to create user-interactive graphs of the 10 major distributions in Excel. These user-interactive Excel graphs allow the user to vary the cells containing all of the distribution's parameters, such as mean, standard deviation, and degrees of freedom, and watch the graphed distribution instantly change right on the spreadsheet to conform to the new parameters. This is an excellent and unique tool to fully grasp the functionality of the distributions discussed in this e-manual. All problem-solving techniques are presented as step-by-step frameworks that can be readily applied to similar problems, not as seemingly unrelated and difficult-to-apply statistical theorems like most statistics course do. A number of problem-solving techniques are presented in this e-manual that do not appear in any other statistical text. One example of a statistical technique presented only in this e-manual and nowhere else is a detailed description showing how to solve every type of hypothesis test using the same four steps. A number of widely-used and complicated statistical tests, such as the chi-square independence test, the chi-square population variance test, and conjoint analysis using dummy variable regression are described from top to bottom and also in Excel. Graduate statistics students and business managers will find this e-manual to be, by far, the easiest and fastest way to master graduate-level statistics and to apply advanced statistics in Excel to solve difficult, real-world problems, homework assignments, and exam questions. The reader of this e-manual will quickly become an Excel Statistical Master.

Understandable Statistics: Concepts and Methods

Author: Charles Henry Brase,Corrinne Pellillo Brase

Publisher: Cengage Learning

ISBN: 1337119911

Category: Mathematics

Page: 839

View: 5803

UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics and to master the subject. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach—and make the material interesting as well as easier to understand—the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, Minitab, Minitab ExpressTM, and SPSS is covered, although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistics for Engineering and the Sciences, Sixth Edition

Author: William M. Mendenhall,Terry L. Sincich

Publisher: CRC Press

ISBN: 1498728871

Category: Mathematics

Page: 1166

View: 7862

Prepare Your Students for Statistical Work in the Real World Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results. New to the Sixth Edition Many new and updated exercises based on contemporary engineering and scientific-related studies and real data More statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software Introduction of the case studies at the beginning of each chapter Streamlined material on all basic sampling concepts, such as random sampling and sample survey designs, which gives students an earlier introduction to key sampling issues New examples on comparing matched pairs versus independent samples, selecting the sample size for a designed experiment, and analyzing a two-factor experiment with quantitative factors New section on using regression residuals to check the assumptions required in a simple linear regression analysis The first several chapters of the book identify the objectives of statistics, explain how to describe data, and present the basic concepts of probability. The text then introduces the two methods for making inferences about population parameters: estimation with confidence intervals and hypothesis testing. The remaining chapters extend these concepts to cover other topics useful in analyzing engineering and scientific data, including the analysis of categorical data, regression analysis, model building, analysis of variance for designed experiments, nonparametric statistics, statistical quality control, and product and system reliability.

Kinematics and Dynamics of Machinery: Pearson New International Edition

Author: Charles E. Wilson,J. Peter Sadler

Publisher: Pearson Higher Ed

ISBN: 1292056010

Category: Technology & Engineering

Page: 848

View: 1760

The text is designed for undergraduate Mechanical Engineering courses in Kinematics and Dynamics of Machinery. It is a tool for professors who wish to develop the ability of students to formulate and solve problems involving linkages, cams, gears, robotic manipulators and other mechanisms. There is an emphasis on understanding and utilizing the implications of computed results. Students are expected to explore questions like “What do the results mean?” and “How can you improve the design?”