Applying Statistical Concepts
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Applying Statistical Concepts
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Author : Kelvin Seifert
language : en
Publisher: Macmillan College
Release Date : 1988-03
Applying Statistical Concepts written by Kelvin Seifert and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-03 with categories.
Applying Statistical Concepts
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Author : Dennis E. Hinkle
language : en
Publisher:
Release Date : 1979
Applying Statistical Concepts written by Dennis E. Hinkle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematical statistics categories.
Statistical Concepts A Second Course
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Author : Debbie L. Hahs-Vaughn
language : en
Publisher: Routledge
Release Date : 2013-06-19
Statistical Concepts A Second Course written by Debbie L. Hahs-Vaughn and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-19 with Psychology categories.
Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included. The new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. Much more on computing confidence intervals and conducting power analyses using G*Power. All new SPSS version 19 screenshots to help navigate through the program and annotated output to assist in the interpretation of results. Sections on how to write-up statistical results in APA format and new templates for writing research questions. New learning tools including chapter-opening vignettes, outlines, a list of key concepts, "Stop and Think" boxes, and many more examples, tables, and figures. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website with Power Points, answers to the even-numbered problems, detailed solutions to the odd-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets. Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book’s examples and problems are available on the web. The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. Knowledge of introductory statistics is assumed.
Applying Statistical Concepts
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Author : George G. Seifert
language : en
Publisher:
Release Date : 1981
Applying Statistical Concepts written by George G. Seifert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Educational statistics categories.
Applying Statistical Concepts
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Author : Dennis E. Hinkle
language : en
Publisher: Houghton Mifflin School
Release Date : 1988-01-01
Applying Statistical Concepts written by Dennis E. Hinkle and has been published by Houghton Mifflin School this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01-01 with Social Science categories.
This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics.Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.
Applied Multivariate Statistical Concepts
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Author : Debbie L. Hahs-Vaughn
language : en
Publisher: Routledge
Release Date : 2016-12-01
Applied Multivariate Statistical Concepts written by Debbie L. Hahs-Vaughn and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Psychology categories.
More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader’s master key concepts so they can implement and interpret results generated by today’s sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a ‘mathematical snapshot’ that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what’s to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text’s datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors
Understanding And Applying Basic Statistical Methods Using R
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Author : Rand R. Wilcox
language : en
Publisher: John Wiley & Sons
Release Date : 2016-05-10
Understanding And Applying Basic Statistical Methods Using R written by Rand R. Wilcox 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 2016-05-10 with Social Science categories.
Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.
Teaching Statistical Concepts
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Author : Anne Hawkins
language : en
Publisher: Routledge
Release Date : 2014-09-19
Teaching Statistical Concepts written by Anne Hawkins and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with Education categories.
There is growing recognition that statistics should be part of the core curriculum for the compulsory schooling of all children, leading to a now urgent need for teachers to be trained in both statistical content and appropriate teaching methods. This book lays the foundation for teacher's responses to these changes, exploring how best to teach those applied skills which are now seen to be a more relevant part of the content of statistical courses.
Mastering Applied Statistics In Data Science
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Author : Husn Ara
language : en
Publisher: Independently Published
Release Date : 2024-04-05
Mastering Applied Statistics In Data Science written by Husn Ara and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Social Science categories.
"Mastering Applied Statistics in Data Science" offers a comprehensive guide to understanding and applying statistical methods in the field of data science. This book covers essential statistical concepts, techniques, and tools, providing readers with the knowledge and skills needed to analyze data effectively, make informed decisions, and derive actionable insights. Starting with foundational concepts such as descriptive statistics, probability theory, and inferential statistics, this book gradually progresses to more advanced topics such as regression analysis, hypothesis testing, and multivariate analysis. Each concept is explained in a clear and concise manner, with real-world examples and practical applications to illustrate its relevance in data science. Readers will learn how to: Explore and visualize data using descriptive statistics, histograms, and boxplots. Understand probability distributions and their role in statistical modeling. Conduct hypothesis tests to make inferences about population parameters. Build predictive models using regression analysis and machine learning algorithms. Analyze relationships between multiple variables using correlation and regression techniques. Apply advanced statistical methods such as time series analysis, factor analysis, and cluster analysis. Throughout the book, emphasis is placed on hands-on learning, with practical exercises and examples provided to reinforce key concepts. Whether you are a beginner looking to build a solid foundation in applied statistics or an experienced data scientist seeking to deepen your understanding of statistical methods, "Mastering Applied Statistics in Data Science" is an indispensable resource for mastering statistical analysis in the context of data science.
Applied Statistics Concepts For Counselors
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Author : Geoffrey W. Sutton
language : en
Publisher: Independently Published
Release Date : 2019-08-23
Applied Statistics Concepts For Counselors written by Geoffrey W. Sutton and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with categories.
Increase competency while building confidence in reading statistics and discussing test scores. This book focuses on statistical literacy for counselors and psychotherapists. You will find a review of basic statistical concepts explained with examples from counseling practice and research. Applied Statistics is for all human service professionals (and students) involved in counseling, interviewing, and assessment. Key Features*How statistics function in counseling research and practice*Easy to read explanations of basic stats like measurement, averages, correlations*Simple descriptions of statistical tests like t tests, ANOVA, chi square*Important review of test score reliability and validity*Helpful hints on reading complex statistics*Includes an extensive glossary and links to online resources*Includes a practice test with answers What Reviewers Say About Applied Statistics***"Even though I completed multiple graduate level statistics courses, I benefitted from the simple and straight forward content of this text. Practice tests at the end of chapters helps assess learning and application. This is a great refresher resource for counselors and beginning graduate students. "Christine Arnzen, Ph.D., LPC, Associate Professor, Evangel University; Coordinator, Graduate Counseling Programs***"If you need to review basic statistics and don't know where to begin, this book is perfect! It makes difficult concepts easy to understand." Heather L. Kelly, Psy.D., Professor of Psychology, Department Chair, Evangel University, Springfield, Missouri, USA***"I really appreciated the places where you gave applied examples. For me, those have always helped me to understand the function of statistics." Nick Schollars, M.S., Mental Health Counseling, Oregon, USA***"This comprehensive yet concise overview of statistical concepts related to counseling research and practice, is a much needed must-read for all counselling graduate students..." Dr Mervin Van der Spuy, Psychopharmacologist & Couples Therapist, Paraklesis CounsellingCalgary, Alberta, Canada