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: 4691

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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 Six SIGMA Green Belts with Minitab and Jmp (Paperback)


Author: David M. Levine
Publisher: Prentice Hall
ISBN: 9780137017126
Category: Business & Economics
Page: 400
View: 5723

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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

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: 6521

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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

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: 677

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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: 4728

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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 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: 5482

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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.

Six Sigma Statistics with EXCEL and MINITAB


Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 9780071542685
Category: Business & Economics
Page: 374
View: 5247

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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 Statistical Inference with MINITAB®


Author: Sally Lesik,Sally A. Lesik
Publisher: CRC Press
ISBN: 142006584X
Category: Mathematics
Page: 464
View: 1424

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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.

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: 7065

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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: 6357

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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: 3654

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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: 4534

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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.

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: 6602

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"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.

Probability and Statistics for Computer Scientists, Second Edition


Author: Michael Baron
Publisher: CRC Press
ISBN: 1498760600
Category: Mathematics
Page: 449
View: 7549

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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: 7512

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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.

Even You Can Learn Statistics

A Guide for Everyone Who Has Ever Been Afraid of Statistics, Enhanced Edition
Author: David M. Levine,David F. Stephan
Publisher: Pearson Education
ISBN: 013287671X
Category: Business & Economics
Page: 384
View: 4516

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Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statisticsi s a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. 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! You’ll learn how to: • 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 About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e

Math for the Non-Math Lovers (Collection)


Author: David M. Levine,David F. Stephan,Robert Follett
Publisher: FT Press
ISBN: 0133597601
Category: Business & Economics
Page: 578
View: 2661

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Even You Can Learn Statistics, 2nd Ed. is the easiest guide to using statistics in your everyday work or study. Experienced educators David Levine and David Stephan teach statistics hands-on, in plain English, with as little math and as many revealing examples as possible. Levine and Stephan define each concept and technique in plain English, and then explain why it's important, when it's used, and how you can apply it yourself. This Second Edition is fully-updated. Along the way, Levine and Stephan also help you overcome common misconceptions about statistics, so you can use any statistical method more confidently and successfully. In this classic book, long-time CEO Robert Follett shows you exactly how to "keep score" in business by reading and interpreting company financials. Step by step, Follett helps you capture crucial insights buried in balance sheets, income statements, and other key financial reports. Follett shows how to apply core tools for analyzing financial reports and investment opportunities, and demystifies key accounting terms every manager and investor needs to know. This book won't turn you into an accountant, but it will enable you to work confidently with accountants, auditors, financial analysts, budget directors, controllers, treasurers, bankers, and brokers—and make more informed business decisions every single day. Thoroughly updated for current financial practices, How to Keep Score in Business, Second Edition covers all this, and much more.

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: 9930

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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!