Introduction To Statistics Through Resampling Methods And Microsoft Office Excel

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Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Author : Phillip I. Good
Publisher : John Wiley & Sons
ISBN 13 : 0471741760
Total Pages : 245 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good

Download or read book Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2005-07-22 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.

Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set

Download Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set PDF Online Free

Author : Phillip I. Good
Publisher : Wiley
ISBN 13 : 9780470555897
Total Pages : 504 pages
Book Rating : 4.5/5 (558 download)

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Book Synopsis Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set by : Phillip I. Good

Download or read book Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel Set written by Phillip I. Good and published by Wiley. This book was released on 2009-07-07 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-48798-6)and Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by Phillip I. Good (978-0-471-73191-7)

Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Download Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel PDF Online Free

Author : Phillip I. Good
Publisher : Wiley-Interscience
ISBN 13 : 9780470388105
Total Pages : 0 pages
Book Rating : 4.3/5 (881 download)

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Book Synopsis Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good

Download or read book Common Errors in Statistics (and How to Avoid Them), 2nd Edition + Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by Wiley-Interscience. This book was released on 2008-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set contains: 9780471794318 Common Errors in Statistics (and How to Avoid Them), 2nd Edition and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S Plus?? both by Phillip I. Good and James W. Hardin.

Introduction to Statistics Through Resampling Methods and R

Author : Phillip I. Good
Publisher : John Wiley & Sons
ISBN 13 : 1118428218
Total Pages : 224 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Introduction to Statistics Through Resampling Methods and R by : Phillip I. Good

Download or read book Introduction to Statistics Through Resampling Methods and R written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2013-02-11 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises—with selected "hints"—scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.

An Introduction to Statistics using Microsoft Excel

Author : Dan Remenyi
Publisher : UJ Press
ISBN 13 : 1776413458
Total Pages : 236 pages
Book Rating : 4.7/5 (764 download)

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Book Synopsis An Introduction to Statistics using Microsoft Excel by : Dan Remenyi

Download or read book An Introduction to Statistics using Microsoft Excel written by Dan Remenyi and published by UJ Press. This book was released on 2022-01-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: A significant amount of academic research his conducted using quantitative research methods. In many universities large and expensive statistical software has been acquired. However much of this software requires a considerable amount of training before researchers are capable of using it correctly and this can cause difficulties. Many academic researchers are surprised by just how much analytical work can be done using the ubiquitous Microsoft Excel software. This book presents a course on the use of statistics in academic research starting with simple descriptive techniques and working through to sophisticated inferential methods. A step-by-step approach has been taken and has been described by users of this book as similar to having the teacher standing by you as you learn about some of the sophisticated methods of handling and understanding data. Readers of this book have my best wishes in achieving their objectives through their work with academic research.

Introductory Statistics and Analytics

Author : Peter C. Bruce
Publisher : John Wiley & Sons
ISBN 13 : 1118881664
Total Pages : 312 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Introductory Statistics and Analytics by : Peter C. Bruce

Download or read book Introductory Statistics and Analytics written by Peter C. Bruce and published by John Wiley & Sons. This book was released on 2014-12-03 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise, thoroughly class-tested primer that features basicstatistical concepts in the concepts in the context of analytics,resampling, and the bootstrap A uniquely developed presentation of key statistical topics,Introductory Statistics and Analytics: A ResamplingPerspective provides an accessible approach to statisticalanalytics, resampling, and the bootstrap for readers with variouslevels of exposure to basic probability and statistics. Originallyclass-tested at one of the first online learning companies in thediscipline, www.statistics.com, the book primarily focuses onapplications of statistical concepts developed via resampling, witha background discussion of mathematical theory. This featurestresses statistical literacy and understanding, which demonstratesthe fundamental basis for statistical inference and demystifiestraditional formulas. The book begins with illustrations that have the essentialstatistical topics interwoven throughout before moving on todemonstrate the proper design of studies. Meeting all of theGuidelines for Assessment and Instruction in Statistics Education(GAISE) requirements for an introductory statistics course,Introductory Statistics and Analytics: A ResamplingPerspective also includes: Over 300 “Try It Yourself” exercises andintermittent practice questions, which challenge readers atmultiple levels to investigate and explore key statisticalconcepts Numerous interactive links designed to provide solutions toexercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing fieldof data science Multiple discussions of various software systems, such asMicrosoft Office Excel®, StatCrunch, and R, to develop andanalyze data Areas of concern and/or contrasting points-of-view indicatedthrough the use of “Caution” icons Introductory Statistics and Analytics: A ResamplingPerspective is an excellent primary textbook for courses inpreliminary statistics as well as a supplement for courses inupper-level statistics and related fields, such as biostatisticsand econometrics. The book is also a general reference for readersinterested in revisiting the value of statistics.

Resampling Methods

Author : Phillip I. Good
Publisher : Springer Science & Business Media
ISBN 13 : 1475734255
Total Pages : 250 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Resampling Methods by : Phillip I. Good

Download or read book Resampling Methods written by Phillip I. Good and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: "...the author has packaged an excellent and modern set of topics around the development and use of quantitative models...the author has the capability to work at a more modest level. He does that very effectively in this 2nd Edition... If you need to learn about resampling, this book would be a good place to start." -- Technometrics This work is a practical, table-free introduction to data analysis using the bootstrap, cross-validation, and permutation tests; new to the second edition are several additional examples and a chapter dedicated to regression, data mining techniques, and their limitations. The book’s many exercises, practical data sets, and use of free shareware make it an essential resource for students and teachers, as well as industrial statisticians, consultants, and research professionals.

Resampling Methods

Author : Phillip I. Good
Publisher : Springer Science & Business Media
ISBN 13 : 1475730497
Total Pages : 281 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Resampling Methods by : Phillip I. Good

Download or read book Resampling Methods written by Phillip I. Good and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: "...the author has packaged an excellent and modern set of topics around the development and use of quantitative models...the author has the capability to work at a more modest level. He does that very effectively in this 2nd Edition... If you need to learn about resampling, this book would be a good place to start." -- Technometrics This work is a practical, table-free introduction to data analysis using the bootstrap, cross-validation, and permutation tests; new to the second edition are several additional examples and a chapter dedicated to regression, data mining techniques, and their limitations. The book’s many exercises, practical data sets, and use of free shareware make it an essential resource for students and teachers, as well as industrial statisticians, consultants, and research professionals.

Politics and the Ruling Group in Putin's Russia

Author : S. White
Publisher : Springer
ISBN 13 : 0230583067
Total Pages : 173 pages
Book Rating : 4.2/5 (35 download)

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Book Synopsis Politics and the Ruling Group in Putin's Russia by : S. White

Download or read book Politics and the Ruling Group in Putin's Russia written by S. White and published by Springer. This book was released on 2008-06-11 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is little consensus about the nature of the political system that has emerged during the Putin presidency. This collection considers the issues arising in this connection, focusing more closely on institutions such as the presidency and the security police, and on the socioeconomic dimensions of political power.

Mathematical Statistics with Resampling and R

Author : Laura M. Chihara
Publisher : John Wiley & Sons
ISBN 13 : 1118029852
Total Pages : 432 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Mathematical Statistics with Resampling and R by : Laura M. Chihara

Download or read book Mathematical Statistics with Resampling and R written by Laura M. Chihara and published by John Wiley & Sons. This book was released on 2011-09-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: Exploratory data analysis Calculation of sampling distributions The Central Limit Theorem Monte Carlo sampling Maximum likelihood estimation and properties of estimators Confidence intervals and hypothesis tests Regression Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. Mathematical Statistics with Resampling and R is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

Handbook of Motivation at School

Author : Kathryn R. Wentzel
Publisher : Routledge
ISBN 13 : 1135592918
Total Pages : 1050 pages
Book Rating : 4.1/5 (355 download)

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Book Synopsis Handbook of Motivation at School by : Kathryn R. Wentzel

Download or read book Handbook of Motivation at School written by Kathryn R. Wentzel and published by Routledge. This book was released on 2009-09-10 with total page 1050 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Motivation at School presents the first comprehensive and integrated compilation of theory and research on children’s motivation at school. It covers the major theoretical perspectives in the field as well as their application to instruction, learning, and social adjustment at school. Key Features: Comprehensive – no other book provides such a comprehensive overview of theory and research on children’s motivation at school. Theoretical & Applied – the book provides a review of current motivation theories by the developers of those theories as well as attention to the application of motivation theory and research in classrooms and schools. Chapter Structure – chapters within each section follow a similar structure so that there is uniformity across chapters. Commentaries – each section ends with a commentary that provides clear directions for future research.

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel, Workbook

Author : Robert P. Hirsch
Publisher : John Wiley & Sons
ISBN 13 : 1119089867
Total Pages : 240 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel, Workbook by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel, Workbook written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2016-04-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workbook to accompany Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel—practical and methodological approach to the statistical logic of biostatistics in the field of health research.

Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Statistical Explorations with Microsoft Excel

Author : Millianne Lehmann
Publisher : Duxbury Resource Center
ISBN 13 : 9780534516116
Total Pages : 318 pages
Book Rating : 4.5/5 (161 download)

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Book Synopsis Statistical Explorations with Microsoft Excel by : Millianne Lehmann

Download or read book Statistical Explorations with Microsoft Excel written by Millianne Lehmann and published by Duxbury Resource Center. This book was released on 1997 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This laboratory manual ideally accompanies Jessica Utts Seeing Through Statistics or any introductory statistics text that does not contain a lab component. Provides a set of 17 labs, using Microsoft Excel 5.0, that are central to statistical literacy, using real problems with real data.

Introductory Applied Statistics

Author : Bruce Blaine
Publisher : Springer
ISBN 13 : 9783031277436
Total Pages : 0 pages
Book Rating : 4.2/5 (774 download)

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Book Synopsis Introductory Applied Statistics by : Bruce Blaine

Download or read book Introductory Applied Statistics written by Bruce Blaine and published by Springer. This book was released on 2024-05-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters. Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems forpractice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

Author : Phillip I. Good
Publisher : John Wiley & Sons
ISBN 13 : 0470927143
Total Pages : 0 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Analyzing the Large Number of Variables in Biomedical and Satellite Imagery by : Phillip I. Good

Download or read book Analyzing the Large Number of Variables in Biomedical and Satellite Imagery written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.

Excel Statistics

Author : Neil J. Salkind
Publisher : SAGE
ISBN 13 : 1412979633
Total Pages : 121 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Excel Statistics by : Neil J. Salkind

Download or read book Excel Statistics written by Neil J. Salkind and published by SAGE. This book was released on 2010-07-01 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize the features of Microsoft® Excel to answer both simple and complex questions about data analysis. Part I explores thirty Excel functions, each one detailed on a two-page spread. The description and use of each function appear on one page with corresponding screen shots of the function in action on the facing page, allowing the user to see what the function looks like as it is being applied. Part II of the text contains fifteen Analysis Toolpak tools, each explained using the same two-page spread design as for the functions. Excel novices and experts alike will find this text not only practical but easy to use and engaging. Key Features: - Each function and tool is accompanied by an Excel file, accessible through the SAGE Web site, to be used as an example of each analysis. Access these files through the SAGE website (www.sagepub.com/salkindexcelstats) or through www.onlinefilefolder.com. - The screenshots and steps feature Microsoft Excel 2010 and are compatible with Microsoft 97-2003 and Excel 5.0/95. - Designed to be used as both an introduction and a reference book as needed. Perfect as an accompaniment to existing introductory statistics books or in a lab setting.