100 Statistical Tests

100 Statistical Tests

Author: Gopal K Kanji

Publisher: SAGE

Published: 2006-08-07

Total Pages: 262

ISBN-13: 9781412923767

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Expanded and updated, the Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. The Third Edition now includes: - a new introduction to statistical testing with information to guide even the non-statistician through the book quickly and easily - real-world explanations of how and when to use each test with examples drawn from wide range of disciplines - a useful Classification of Tests table - all the relevant statistical tables for checking critical valu.


Selected Statistical Tests

Selected Statistical Tests

Author: V. Rajagopalan

Publisher: New Age International

Published: 2006-12

Total Pages: 91

ISBN-13: 8122418406

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This Book Provides Many Kinds Of Statistical Tests Available In Statistics, Which Are Widely Used In Various Disciplines, Especially Very Much Useful For The Researchers Who Need Statistical Tools And Techniques For Their Data Analysis. This Book Will Help Them To Interpret Their Data Themselves In A Better Manner. In This Book, Frequently Used Statistical Tests Are Presented In A Simple And Understandable Way With Real Life Examples And Exercises.


100 Statistical Tests

100 Statistical Tests

Author: Gopal K Kanji

Publisher: SAGE

Published: 2006-07-18

Total Pages: 257

ISBN-13: 1847878261

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′This is a very valuable book for statisticians and users of statistics. It contains a remarkable number of statistical tests which are currently available and useful for practical purposes′ - Statistical Papers This expanded and updated Third Edition of Gopal Kanji′s best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test′s purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example and the numerical calculation. This new edition also includes: " A brand new introduction to statistical testing with information to guide the reader through the book so that even non-statistics students can find information quickly and easily " Real-world explanations of how and when to use each test with examples drawn from wide range of disciplines. " A useful Classification of Tests table " All the relevant statistical tables for checking critical values 100 Statistical Tests: Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines.


100 Statistical Tests

100 Statistical Tests

Author: Gopal K. Kanji

Publisher:

Published: 1993

Total Pages: 216

ISBN-13:

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As the number of tests has increased, so has the pressing need for a single source of reference. Bringing together the hundred most commonly used tests, this volume provides just such an indispensable aid for student and statistician alike. An introduction discusses the principles of hypothesis-testing. Examples of the procedure for selected tests follow, illustrating statistical method in practice. The purpose of each test is summarized and a classification chart identifies their interconnections and contexts of use. The bulk of the book consists of clear, concise outlines of the objective, method, strengths and limitations of each test, giving sample data. All the relevant tables of critical values are included. 100 Statistical Tests is an invaluable addition to the bookshelf of anyone working with applied statistics and quantitative methodologies throughout the social sciences, business and management.


100 Statistical Tests in R

100 Statistical Tests in R

Author: N. D. Lewis

Publisher: CreateSpace

Published: 2013

Total Pages: 0

ISBN-13: 9781484052990

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Gives sample tests from a variety of disciplines ready to be input into the R statistical package with instructions included with each example.


Nonparametric Statistical Tests

Nonparametric Statistical Tests

Author: Markus Neuhauser

Publisher: CRC Press

Published: 2011-12-19

Total Pages: 247

ISBN-13: 1439867046

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Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. Th


Basic and Advanced Statistical Tests

Basic and Advanced Statistical Tests

Author: Amanda Ross

Publisher: Springer

Published: 2018-01-03

Total Pages: 223

ISBN-13: 9463510869

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This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figures. The book is divided into two encompassing sections: Part I – Basic Statistical Tests and Part II – Advanced Statistical Tests. Part I includes 9 basic statistical tests, and Part II includes 7 advanced statistical tests. Each chapter provides the name of a basic or advanced statistical test, a brief description, examples of when to use each, a sample scenario, and a sample results section write-up. Depending on the test and need, most chapters provide a table and/or figure to accompany the write-up. The purpose of the book is to provide researchers with a reference manual for writing results sections and tables/figures in scholarly works. The authors fill a gap in research support manuals by focusing on sample write-ups and tables/figures for given statistical tests. The book assists researchers by eliminating the need to comb through numerous publications to determine necessary information to report, as well as correct APA format to use, at the close of analyses.


How Many Subjects?

How Many Subjects?

Author: Helena Chmura Kraemer

Publisher: SAGE

Published: 1987-09

Total Pages: 128

ISBN-13: 9780803929494

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How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests, researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons, emphasized throughout the book, demonstrate important principles of design, measurement and analysis that are rarely discussed in courses or textbooks.