100-STATISTICAL-TESTS

Download 100-statistical-tests ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to 100-STATISTICAL-TESTS book pdf for free now.

100 Statistical Tests

Author : Gopal K Kanji
ISBN : 0761961518
Genre : Social Science
File Size : 76.3 MB
Format : PDF, Mobi
Download : 239
Read : 896

The student and researcher are faced with a vast array of statistical tests, and this new edition of the bestselling 100 Statistical Tests covers all the most commonly used tests with information on how to calculate and interpret results with sample datasets. The new version simplifies and clarifies a number of tests and the information on the limitations of tests has been expanded. Praise for the First Edition: `Every person who does statistical testing should have a copy of this reasonably priced book' - Journal of Quality Technology `Strongly recommended' - British Journal of Educational Psychology `I cannot praise this book too
Category: Social Science

100 Statistical Tests

Author : Gopal K Kanji
ISBN : 141292376X
Genre : Mathematics
File Size : 51.1 MB
Format : PDF, Mobi
Download : 307
Read : 402

This expanded and updated Third Edition of Gopal K. 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. 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.
Category: Mathematics

100 Statistical Tests

Author : N. D. Lewis
ISBN : 1484052994
Genre : Mathematics
File Size : 39.51 MB
Format : PDF, Kindle
Download : 103
Read : 393

100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus is on their subject matter rather than mathematical lemmas or statistical theory. Step by step examples of each test are clearly described, and can be typed directly into R as printed on the page. To accelerate your research ideas, over three hundred applications of statistical tests across engineering, science, and the social sciences are discussed.
Category: Mathematics

Dna Microarrays Part B Databases And Statistics

Author :
ISBN : 9780080464664
Genre : Science
File Size : 57.92 MB
Format : PDF, Docs
Download : 415
Read : 208

Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results. Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations. Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician. Provides an overview of platforms Includes experimental design and wet bench protocols Presents statistical and data analysis methods, array databases, data visualization and meta analysis
Category: Science

Statistics For The Behavioural Sciences

Author : Riccardo Russo
ISBN : 1841693197
Genre : Medical
File Size : 73.43 MB
Format : PDF
Download : 583
Read : 1114

Do you find statistics overwhelming and confusing? Have you ever wished for someone to explain the basics in a clear and easy-to-follow style? This accessible textbook gives a step-by-step introduction to all the topics covered in introductory statistics courses for the behavioural sciences, with plenty of examples discussed in depth, based on real psychology experiments utilising the statistical techniques described. Advanced sections are also provided, for those who want to learn a particular topic in more depth. Statistics for the Behavioural Sciences: An Introduction begins with an introduction to the basic concepts, before providing a detailed explanation of basic statistical tests and concepts such as descriptive statistics, probability, the binomial distribution, continuous random variables, the normal distribution, the Chi-Square distribution, the analysis of categorical data, t-tests, correlation and regression. This timely and highly readable text will be invaluable to undergraduate students of psychology, and students of research methods courses in related disciplines, as well as anyone with an interest in the basic concepts and tests associated with statistics in the behavioural sciences.
Category: Medical

Research Methods For Clinical Therapists E Book

Author : Carolyn M. Hicks
ISBN : 9780702041884
Genre : Medical
File Size : 70.55 MB
Format : PDF, ePub, Mobi
Download : 580
Read : 1285

Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research. Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum. 'Key concept' boxes to explain technical research terms Activities and exercises (with answers provided in an appendix) to reinforce learning Sample critique of a published research article Comprehensive coverage of the key components of a robust research study Explanation of basic mathematical concepts Extended section on calculating sample sizes Guidelines on the preparation of posters Calculation of Inter-rater reliability measures, including Cohen’s Kappa, ICC (interclass correlation) and Bland-Altman graphs of inter-rater agreement Introduction to Receiver Operating Characteristics, for use in screening and diagnostic testing against gold-standards The Thurstone Paired Comparison Technique, valuable in capturing the user voice on a variety of service planning, design and development issues Undertaking Systematic Reviews Relevant further reading for each chapter to support readers in their work.
Category: Medical

Nonparametric Statistics For Applied Research

Author : Jared A. Linebach
ISBN : 9781461490418
Genre : Mathematics
File Size : 44.61 MB
Format : PDF, Kindle
Download : 204
Read : 963

​​Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text. The “real world” scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language. This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.
Category: Mathematics

The Barnacle Goose

Author : Jeffrey M. Black
ISBN : 9781472911568
Genre : Nature
File Size : 85.31 MB
Format : PDF, ePub, Mobi
Download : 991
Read : 698

The Barnacle Goose, a distinctive, handsome black-and-white bird, gets its name from a mediaeval myth that the birds hatched from barnacles – how else to explain their sudden appearance each autumn in northern Britain? We now know, of course, that the birds migrate from Arctic Russia, Norway and Svalbard to winter throughout northern Europe. This book represents a culmination of more than 25 years of Barnacle Goose research. It represents the story of one of Europe's most celebrated long-term behavioral studies, detailing the lives of these social and sociable birds. Chapters include sections on pair formation and bonding, family and population dynamics, brood parasitism, food and feeding, size and shape in different populations, life cycle, survivorship, dispersal, migration, and conservation, with particular regard to climate change. It is a rigorous and thorough examination of the lives of these birds, in fine Poyser tradition.
Category: Nature

Applied Statistics

Author : Rebecca M. Warner
ISBN : 9780761927723
Genre : Mathematics
File Size : 48.18 MB
Format : PDF, ePub, Docs
Download : 784
Read : 381

With an approach that does not require formal mathematics (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as Multiple Regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
Category: Mathematics

Statistics And Data Interpretation For Social Work

Author : Gloria Rosenthal
ISBN : 9780826107213
Genre : Social Science
File Size : 48.66 MB
Format : PDF, ePub
Download : 630
Read : 381

Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank
Category: Social Science