Understanding Statistics And Experimental Design
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Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher: Springer
Release Date : 2019-08-13
Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Science categories.
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher:
Release Date : 2019
Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Understanding Statistics
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Author : Daniel B. Wright
language : en
Publisher: SAGE
Release Date : 1996-11-13
Understanding Statistics written by Daniel B. Wright and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-11-13 with Social Science categories.
In this comprehensive introduction to using statistics in the social sciences, Daniel B Wright describes the most popular statistical techniques, explaining their basic principles and demonstrating their use in a wide range of social research. The book is divided into four sections. Part One explains the theoretical relationship between statistics and research, outlining the place of statistics in the research process and introducing hypothesis testing. In Part Two the two "t"-tests are described in detail. This serves as a foundation for the rest of the book and develops skills that are called upon in later chapters. Part Three outlines the three main families of statistical tests - regression, analysis of variance, and two-variable tests. Finally, Part Four offers a guide to more advanced techniques.
Understanding Statistics In The Behavioral Sciences
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Author : Roger Bakeman
language : en
Publisher: Psychology Press
Release Date : 2005-03-23
Understanding Statistics In The Behavioral Sciences written by Roger Bakeman and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-23 with Education categories.
Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulas are reduced. New ideas are presented in the context of a few recurring examples, which allows readers to focus more on the new statistical concepts than on the details of different studies. The authors' selection and organization of topics is slightly different from the ordinary introductory textbook. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression. With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance. This integrated approach helps to simplify topics that often cause confusion. Understanding Statistics in the Behavioral Sciences features:*Computer-based exercises, many of which rely on spreadsheets, help the reader perform statistical analyses and compare and verify the results using either SPSS or SAS. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providing a deeper understanding of the basic concepts. *Key terms and symbols are boxed when first introduced and repeated in a glossary to make them easier to find at review time. *Numerous tables and graphs, including spreadsheet printouts and figures, help students visualize the most critical concepts. This book is intended as a text for introductory behavioral science statistics. It will appeal to instructors who want a relatively brief text. The book's active approach to learning, works well both in the classroom and for individual self-study.
Speaking Science And Understanding Statistics
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-07
Speaking Science And Understanding Statistics written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Language Arts & Disciplines categories.
Speaking Science and Understanding Statistics is a comprehensive overview of the field of communication sciences and disorders (CSD). It covers all aspects of CSD, from the scientific method to evidence-based practice. Speaking Science and Understanding Statistics is written in a clear and concise style, making it accessible to students, clinicians, and researchers alike. This book is divided into 10 chapters, each of which covers a different aspect of CSD. The first chapter introduces the scientific method and its application to CSD research. The second chapter covers descriptive statistics, which are used to summarize and describe data. The third chapter covers inferential statistics, which are used to make inferences about a population based on a sample. The fourth chapter covers research design, which is the process of planning and conducting a research study. The fifth chapter covers data analysis, which is the process of analyzing data to answer research questions. The sixth chapter covers communication disorders, which are disorders that affect speech, language, voice, and/or swallowing. The seventh chapter covers assessment in communication disorders, which is the process of evaluating a person's communication skills. The eighth chapter covers intervention for communication disorders, which is the process of providing treatment to people with communication disorders. The ninth chapter covers research in communication disorders, which is the process of conducting research to improve the prevention, assessment, diagnosis, and treatment of communication disorders. The tenth chapter covers evidence-based practice, which is the process of using research evidence to make decisions about clinical practice. Speaking Science and Understanding Statistics is an essential resource for anyone who wants to learn more about the field of CSD. It is also a valuable resource for CSD professionals who want to stay up-to-date on the latest research and best practices. If you like this book, write a review on google books!
Designing Experiments And Analyzing Data
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Author : Scott E. Maxwell
language : en
Publisher: Routledge
Release Date : 2003-10-17
Designing Experiments And Analyzing Data written by Scott E. Maxwell and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-17 with Mathematics categories.
Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs. Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books. Several learning tools further strengthen the reader's understanding: *flowcharts assist in choosing the most appropriate technique; *an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data; *examples based on actual research in a variety of behavioral sciences help students see the applications of the material; *numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety. Updated throughout, the second edition features: *significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs; *an increased use of statistical packages and the graphical presentation of data; *new chapters (15 & 16) on multilevel models; *the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2); *a new preview of the experimental designs covered in the book (ch. 2); *a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and *a Web site containing examples of SPSS and SAS syntax for analyzing many of the text exercises. Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available to those who adopt the book for classroom use.
A Guide To Doing Statistics In Second Language Research Using Spss
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Author : Jenifer Larson-Hall
language : en
Publisher: Routledge
Release Date : 2009-09-10
A Guide To Doing Statistics In Second Language Research Using Spss written by Jenifer Larson-Hall and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-10 with Education categories.
This valuable book shows second language researchers how to use the statistical program SPSS to conduct statistical tests frequently done in SLA research. Using data sets from real SLA studies, A Guide to Doing Statistics in Second Language Research Using SPSS shows newcomers to both statistics and SPSS how to generate descriptive statistics, how to choose a statistical test, and how to conduct and interpret a variety of basic statistical tests. It covers the statistical tests that are most commonly used in second language research, including chi-square, t-tests, correlation, multiple regression, ANOVA and non-parametric analogs to these tests. The text is abundantly illustrated with graphs and tables depicting actual data sets, and exercises throughout the book help readers understand concepts (such as the difference between independent and dependent variables) and work out statistical analyses. Answers to all exercises are provided on the book’s companion website, along with sample data sets and other supplementary material.
An Introduction To Optimal Designs For Social And Biomedical Research
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Author : Martijn P.F. Berger
language : en
Publisher: John Wiley & Sons
Release Date : 2009-05-27
An Introduction To Optimal Designs For Social And Biomedical Research written by Martijn P.F. Berger and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-27 with Mathematics categories.
The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book: Introduces optimal experimental design in an accessible format. Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study’s costs. Discusses the merits of optimal designs and compares them with commonly used designs. Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner. Illustrates design techniques with practical examples from social and biomedical research to enhance the reader’s understanding. Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice.
Experimental Design And The Analysis Of Variance
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Author : Robert K. Leik
language : en
Publisher: SAGE Publications
Release Date : 1997-04-19
Experimental Design And The Analysis Of Variance written by Robert K. Leik and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-19 with Social Science categories.
Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book, as part of our Series in Research Methods and Statistics, provides you with the flexibility to cover ANOVA more thoroughly, but without financially overburdening your students.
Basic Statistics 2nd Edition
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Author : P.K. Mohanty
language : en
Publisher: Scientific Publishers
Release Date : 2019-04-10
Basic Statistics 2nd Edition written by P.K. Mohanty and has been published by Scientific Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-10 with Technology & Engineering categories.
This book have been so organized to cater to the needs of the research scholars and students of Engineering, Commerce, Economics, BBA and MBA, Biotechnology, Applied Microbiology, Environmental Science and the many, who are required to learn the subject and to apply its techniques and methods in their sphere of work. The questions and problems have all been solved in a very simple, easy and comprehensive manner to suit the readers’ requirements. Wherever possible real world data, particularly from biology, industrial, agricultural and census data, etc have been taken in explaining various statistical techniques.