100 Statistical Tests
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Author | : Gopal K Kanji |
Publisher | : SAGE |
Total Pages | : 262 |
Release | : 2006-08-07 |
Genre | : Mathematics |
ISBN | : 9781412923767 |
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.
Author | : Helena Chmura Kraemer |
Publisher | : SAGE |
Total Pages | : 128 |
Release | : 1987-09 |
Genre | : Mathematics |
ISBN | : 9780803929494 |
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.
Author | : James Vandiver Bradley |
Publisher | : Prentice Hall |
Total Pages | : 410 |
Release | : 1968 |
Genre | : Mathematics |
ISBN | : |
For students, statisticians, and other research workers.
Author | : V. Rajagopalan |
Publisher | : New Age International |
Total Pages | : 91 |
Release | : 2006-12 |
Genre | : Statistical hypothesis testing |
ISBN | : 8122418406 |
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.
Author | : Danny McCarroll |
Publisher | : CRC Press |
Total Pages | : 497 |
Release | : 2016-11-03 |
Genre | : Mathematics |
ISBN | : 1498758940 |
This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student’s t-tests, correlation and regression are also covered. Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.
Author | : Gopal K Kanji |
Publisher | : SAGE |
Total Pages | : 257 |
Release | : 2006-07-18 |
Genre | : Social Science |
ISBN | : 1847878261 |
′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.
Author | : Amanda Ross |
Publisher | : Springer |
Total Pages | : 223 |
Release | : 2018-01-03 |
Genre | : Education |
ISBN | : 9463510869 |
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.
Author | : Margaret Sullivan Pepe |
Publisher | : OUP Oxford |
Total Pages | : 319 |
Release | : 2003-03-13 |
Genre | : Medical |
ISBN | : 019158861X |
This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.
Author | : Judith Greene |
Publisher | : Taylor & Francis Group |
Total Pages | : 248 |
Release | : 1999 |
Genre | : Medical |
ISBN | : |
The second edition of this text is an introduction to the use of statistical tests in psychology experiments: statistics without panic. Presented in a new textbook format, its key objective is to enable students to select appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. Improvements ion the organization of chapters emphasize even more clearly the principle of introducing complex experimental designs on a need to know basis, leaving more space for an extended interpretation of analysis of variance. In an important development for the second edition, students are introduced to modern statistical packages as a useful tool for calculations, the emphasis being on understanding and interpretation.
Author | : Cole Davis |
Publisher | : CSIRO PUBLISHING |
Total Pages | : 188 |
Release | : 2013-08-15 |
Genre | : Medical |
ISBN | : 0643107126 |
This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets. Examples are given from agriculture, arboriculture, biology, computer science, ecology, engineering, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy, sports science, audiology and epidemiology.