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Author: John C. Lee Publisher: World Scientific ISBN: 9789810238797 Category : Business & Economics Languages : en Pages : 374
Book Description
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.
Author: John C. Lee Publisher: World Scientific ISBN: 9789810238797 Category : Business & Economics Languages : en Pages : 374
Book Description
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.
Author: Robert Carver Publisher: Brooks/Cole ISBN: Category : Computers Languages : en Pages : 312
Book Description
This lab manual provides clearly-written and comprehensive tutorials that allow introductory students of statistics to learn how to use MINITAB software to their full advantage. The manual's tutorials and exercises demonstrate MINITAB's use in the context of understanding statistical concepts as well as understanding the reasoning behind the computation. All data sets are real and reflect a variety of disciplines, including business; social, physical, and life sciences; humanities; health/medicine; engineering; and general interest.
Author: Alan Bryman Publisher: Routledge ISBN: 1134805748 Category : Psychology Languages : en Pages : 315
Book Description
Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.
Author: Dorothy Wakefield Publisher: Prentice Hall ISBN: 9780131497832 Category : Computers Languages : en Pages : 182
Book Description
The MINITAB lab manual is designed to be used with any Elementary Statistics textbook. The lessons are self-explanatory and explore topics that are covered in all elementary texts. The purpose in writing this manual is to provide some simple examples of basic statistical techniques so that students can see that statistics is more than just a long list of mind-boggling formulas. Since MINITAB does all the computation, students can concentrate on selecting the appropriate statistical method and can focus on understanding and interpreting the results. Each chapter has an instructional section which summarizes a basic statistical concept. This is followed by a computer assignment in which students can practice the techniques that they have learned in the chapter. All instructions and diagrams in the manual were developed using MINITAB Release 14. Users of the Student Version of MINITAB may find some slight differences in the procedures. All the data sets used in the lessons are saved on the included data CD as MINITAB Worksheets (*.MTW). Minitab Software/CD not included with manual.
Author: Rehman M. Khan Publisher: John Wiley & Sons ISBN: 1118307526 Category : Mathematics Languages : en Pages : 715
Book Description
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.
Author: Vukov Publisher: Prentice Hall ISBN: 9780130669223 Category : Mathematics Languages : en Pages : 196
Book Description
Integrates the statistical computing package MINITAB(tm) into an Introductory Statistics course, using Statistics by McClave/Sincich, 9/e.
Author: Harry V. Roberts Publisher: Thomson South-Western ISBN: 9780894261930 Category : Business Languages : en Pages : 0
Book Description
The author develops and illustrates statistical ideas in the context of the kinds of practical data analysis that managers actually undertake, starting with the simple applications to quality control. MINITAB is used throughout allowing students to perform meaningful statistical computations and to concentrate on learning how statistics can be used effectively in business. Written for introductory courses in business statistics (especially at MBA level), the new edition offers a simpler yet more systematic and thorough approach to data analysis and incorporates new features of MINITAB Release 7, especially control chart commands.
Author: Dennis R. Helsel Publisher: John Wiley & Sons ISBN: 0470479884 Category : Mathematics Languages : en Pages : 344
Book Description
Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets." —Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored data Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data") A section on summing data with nondetects A newly written introduction that discusses invasive data, showing why substitution methods fail Expanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.
Author: Minitab Inc Publisher: ISBN: 9780534360092 Category : Mathematical statistics Languages : en Pages : 154
Book Description
A student version of the professional statistical software package that imports and exports data, processes it, and describes, analyzes, and displays it in graphic format.
Author: John C. Lee
Author: John C. Lee
Author: Robert Carver
Author: Alan Bryman
Author: Robert H. Carver
Author: Dorothy Wakefield
Author: Rehman M. Khan
Author: Vukov
Author: Harry V. Roberts
Author: Dennis R. Helsel
Author: Minitab Inc