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Applied Statistics I

Applied Statistics I
Author: Rebecca M. Warner
Publisher: SAGE Publications
Total Pages: 736
Release: 2020-01-14
Genre: Social Science
ISBN: 1506352820

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Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6


Applied Statistics I - International Student Edition

Applied Statistics I - International Student Edition
Author: Rebecca M. Warner
Publisher:
Total Pages:
Release: 2020-05-14
Genre:
ISBN: 9781071807491

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Applied Statistics I: Basic Bivariate Techniques spends less time on statistical significance testing, and moves in the direction of the "new statistics" by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). The author includes examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.


Modern Data Analysis

Modern Data Analysis
Author: Lawrence C. Hamilton
Publisher:
Total Pages: 684
Release: 1990
Genre: Estadística
ISBN: 9780534981822

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Applied Statistics II - International Student Edition

Applied Statistics II - International Student Edition
Author: Rebecca M. Warner
Publisher:
Total Pages:
Release: 2020-05-14
Genre:
ISBN: 9781071807712

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Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. This new multivariate statistics text, Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is based on chapters from the second half of original book, but with additional material. The book provides a distinctive bridge between earlier courses and advanced topics through extensive discussion of statistical control (adding a third variable), a new chapter on the "new statistics", a new chapter on outliers and missing values, and a final chapter that provides an introduction to structural equation modeling. Examples are provided in SPSS with datasets available on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.


Applied Statistics II

Applied Statistics II
Author: Rebecca M. Warner
Publisher: SAGE Publications
Total Pages: 862
Release: 2020-01-14
Genre: Social Science
ISBN: 1506352871

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Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based on chapters from the second half of the original book. The text begins with two new chapters: an introduction to the new statistics, and a chapter on handling outliers and missing values. All chapters on statistical control and multivariable or multivariate analyses from the previous edition are retained (with the moderation chapter heavily revised) and new chapters have been added on structural equation modeling, repeated measures, and on additional statistical techniques. Each chapter includes a complete example, and begins by considering the types of research questions that chapter’s technique can answer, progresses to data screening, and provides screen shots of SPSS menu selections and output, and concludes with sample results sections. By-hand computation is used, where possible, to show how elements of the output are related to each other, and to obtain confidence interval and effect size information when SPSS does not provide this. Datasets are available on the accompanying website. Bundle and Save Applied Statistics II + Applied Statistics I: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques + Applied Statistics II Bundle ISBN: 978-1-0718-3618-7


Applied Statistics in Business and Economics

Applied Statistics in Business and Economics
Author: David P. Doane
Publisher:
Total Pages: 834
Release: 2006-02
Genre: Commercial statistics
ISBN: 9780071108140

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David Doane offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction.


Applied Statistics: From Bivariate Through Multivariate Techniques

Applied Statistics: From Bivariate Through Multivariate Techniques
Author: Rebecca M. Warner
Publisher: SAGE
Total Pages: 1209
Release: 2013
Genre: Mathematics
ISBN: 141299134X

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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. 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.


Applied Statistics Using R

Applied Statistics Using R
Author: Mehmet Mehmetoglu
Publisher: SAGE
Total Pages: 465
Release: 2021-11-10
Genre: Social Science
ISBN: 1529766141

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If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data. Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research. It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers. The book: Shows you how to use R packages and apply functions, adjusting them to suit different datasets. Gives you the tools to try new statistical techniques and empowers you to become confident using them. Encourages you to learn by doing when running and adapting the authors’ own code. Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect. Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.