Spss Data Analysis For Univariate Bivariate And Multivariate Statistics

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SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119465818
Total Pages : 222 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics by : Daniel J. Denis

Download or read book SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2018-09-25 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.

Applied Univariate, Bivariate, and Multivariate Statistics

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1118632311
Total Pages : 760 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Applied Univariate, Bivariate, and Multivariate Statistics by : Daniel J. Denis

Download or read book Applied Univariate, Bivariate, and Multivariate Statistics written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques used in fields in the social and behavioral sciences. Blending statistical theory and methodology, the book surveys both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques such as t-tests and correlation as well as more advanced procedures such as MANOVA, factor analysis, and structural equation modeling. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. Applied Univariate, Bivariate, and Multivariate Statistics also features Demonstrations of statistical techniques using software packages such as R and SPSS® Examples of hypothetical and real data with subsequent statistical analyses Historical and philosophical insights into many of the techniques used in modern social science A companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options An ideal textbook for courses in statistics and methodology at the upper- undergraduate and graduate-levels in psychology, political science, biology, sociology, education, economics, communications, law, and survey research, Applied Univariate, Bivariate, and Multivariate Statistics is also a useful reference for practitioners and researchers in their field of application. DANIEL J. DENIS, PhD, is Associate Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.

Applied Statistics and Multivariate Data Analysis for Business and Economics

Author : Thomas Cleff
Publisher : Springer
ISBN 13 : 303017767X
Total Pages : 488 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Statistics and Multivariate Data Analysis for Business and Economics by : Thomas Cleff

Download or read book Applied Statistics and Multivariate Data Analysis for Business and Economics written by Thomas Cleff and published by Springer. This book was released on 2019-07-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

Adventures in Social Research

Author : Earl R. Babbie
Publisher : Pine Forge Press
ISBN 13 : 1412982448
Total Pages : 457 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Adventures in Social Research by : Earl R. Babbie

Download or read book Adventures in Social Research written by Earl R. Babbie and published by Pine Forge Press. This book was released on 2011 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Click on the Supplements tab above for further details on the different versions of SPSS programs.

Univariate, Bivariate, and Multivariate Statistics Using R

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119549930
Total Pages : 384 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Univariate, Bivariate, and Multivariate Statistics Using R by : Daniel J. Denis

Download or read book Univariate, Bivariate, and Multivariate Statistics Using R written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.

Applied Univariate, Bivariate, and Multivariate Statistics

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119583047
Total Pages : 578 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Applied Univariate, Bivariate, and Multivariate Statistics by : Daniel J. Denis

Download or read book Applied Univariate, Bivariate, and Multivariate Statistics written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES This revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R contains an accessible introduction to statistical modeling techniques commonly used in the social and natural sciences. The text offers a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS®. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. The second edition has been designed to be more approachable by minimizing theoretical or technical jargon and maximizing conceptual understanding with easy-to-apply software examples. This important text: Offers demonstrations of statistical techniques using software packages such as R and SPSS® Contains examples of hypothetical and real data with statistical analyses Provides historical and philosophical insights into many of the techniques used in modern science Includes a companion website that features further instructional details, additional data sets, and solutions to selected exercises Written for students of social and applied sciences, Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a thorough introduction to the world of statistical modeling techniques in the sciences.

Performing Data Analysis Using IBM SPSS

Author : Lawrence S. Meyers
Publisher : John Wiley & Sons
ISBN 13 : 1118357019
Total Pages : 741 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Performing Data Analysis Using IBM SPSS by : Lawrence S. Meyers

Download or read book Performing Data Analysis Using IBM SPSS written by Lawrence S. Meyers and published by John Wiley & Sons. This book was released on 2013-08-12 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Author : Robert Ho
Publisher : CRC Press
ISBN 13 : 1439890226
Total Pages : 600 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Handbook of Univariate and Multivariate Data Analysis with IBM SPSS by : Robert Ho

Download or read book Handbook of Univariate and Multivariate Data Analysis with IBM SPSS written by Robert Ho and published by CRC Press. This book was released on 2013-10-25 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics

Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS

Author : Robert Ho
Publisher : CRC Press
ISBN 13 : 1420011111
Total Pages : 426 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by : Robert Ho

Download or read book Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS written by Robert Ho and published by CRC Press. This book was released on 2006-03-24 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s

Applied Statistics: From Bivariate Through Multivariate Techniques

Author : Rebecca M. Warner
Publisher : SAGE
ISBN 13 : 141299134X
Total Pages : 1209 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Applied Statistics: From Bivariate Through Multivariate Techniques by : Rebecca M. Warner

Download or read book Applied Statistics: From Bivariate Through Multivariate Techniques written by Rebecca M. Warner and published by SAGE. This book was released on 2013 with total page 1209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Univariate, Bivariate, and Multivariate Statistics Using Python

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119578183
Total Pages : 304 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Applied Univariate, Bivariate, and Multivariate Statistics Using Python by : Daniel J. Denis

Download or read book Applied Univariate, Bivariate, and Multivariate Statistics Using Python written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.

SPSS Statistics for Data Analysis and Visualization

Author : Keith McCormick
Publisher : John Wiley & Sons
ISBN 13 : 1119003555
Total Pages : 528 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis SPSS Statistics for Data Analysis and Visualization by : Keith McCormick

Download or read book SPSS Statistics for Data Analysis and Visualization written by Keith McCormick and published by John Wiley & Sons. This book was released on 2017-05-01 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

Applied Multivariate Statistical Concepts

Author : Debbie L. Hahs-Vaughn
Publisher : Routledge
ISBN 13 : 1317811364
Total Pages : 812 pages
Book Rating : 4.3/5 (178 download)

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Book Synopsis Applied Multivariate Statistical Concepts by : Debbie L. Hahs-Vaughn

Download or read book Applied Multivariate Statistical Concepts written by Debbie L. Hahs-Vaughn and published by Routledge. This book was released on 2016-12-01 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Social Science Research Design and Statistics

Author : Alfred P. Rovai
Publisher :
ISBN 13 : 9780978718695
Total Pages : 540 pages
Book Rating : 4.7/5 (186 download)

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Book Synopsis Social Science Research Design and Statistics by : Alfred P. Rovai

Download or read book Social Science Research Design and Statistics written by Alfred P. Rovai and published by . This book was released on 2012-09-01 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

Multivariate Data Analysis

Author : Joseph Hair
Publisher : Pearson Higher Ed
ISBN 13 : 0133792684
Total Pages : 816 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Multivariate Data Analysis by : Joseph Hair

Download or read book Multivariate Data Analysis written by Joseph Hair and published by Pearson Higher Ed. This book was released on 2016-08-18 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.

Data Analysis with SPSS

Author : Stephen A. Sweet
Publisher : Allyn & Bacon
ISBN 13 : 9780205483877
Total Pages : 0 pages
Book Rating : 4.4/5 (838 download)

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Book Synopsis Data Analysis with SPSS by : Stephen A. Sweet

Download or read book Data Analysis with SPSS written by Stephen A. Sweet and published by Allyn & Bacon. This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains data disk to accompany the text.

Applied Univariate, Bivariate, and Multivariate Statistics Using Python

Author : Daniel J. Denis
Publisher : John Wiley & Sons
ISBN 13 : 1119578140
Total Pages : 308 pages
Book Rating : 4.1/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Applied Univariate, Bivariate, and Multivariate Statistics Using Python by : Daniel J. Denis

Download or read book Applied Univariate, Bivariate, and Multivariate Statistics Using Python written by Daniel J. Denis and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.