Descriptive And Inferential Statistics Using R

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Learning Statistics with R

Author : Daniel Navarro
Publisher : Lulu.com
ISBN 13 : 1326189727
Total Pages : 617 pages
Book Rating : 4.3/5 (261 download)

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Book Synopsis Learning Statistics with R by : Daniel Navarro

Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Descriptive and Inferential Statistics Using R

Author : Dr. Preeti Dabas
Publisher : Sultan Chand & Sons
ISBN 13 : 939182014X
Total Pages : 30 pages
Book Rating : 4.3/5 (918 download)

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Book Synopsis Descriptive and Inferential Statistics Using R by : Dr. Preeti Dabas

Download or read book Descriptive and Inferential Statistics Using R written by Dr. Preeti Dabas and published by Sultan Chand & Sons. This book was released on 2024-02-01 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a valuable guide, taking readers on a journey of statistical thinking and analysis.It unfolds in four distinct parts, establishing a robust foundation for statistical analysis. Part 0 introduces essential concepts and RStudio functions, Part I covers univariate analysis, Part II explores bivariate analysis, and Part III delves into multivariate analysis.

Learn R for Applied Statistics

Author : Eric Goh Ming Hui
Publisher : Apress
ISBN 13 : 1484242009
Total Pages : 254 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Learn R for Applied Statistics by : Eric Goh Ming Hui

Download or read book Learn R for Applied Statistics written by Eric Goh Ming Hui and published by Apress. This book was released on 2018-11-30 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

Modern Statistics with R

Author : Måns Thulin
Publisher :
ISBN 13 : 9781032497457
Total Pages : 0 pages
Book Rating : 4.4/5 (974 download)

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Book Synopsis Modern Statistics with R by : Måns Thulin

Download or read book Modern Statistics with R written by Måns Thulin and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.

Understanding and Evaluating Research

Author : Sue L. T. McGregor
Publisher : SAGE Publications
ISBN 13 : 1506350976
Total Pages : 880 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Understanding and Evaluating Research by : Sue L. T. McGregor

Download or read book Understanding and Evaluating Research written by Sue L. T. McGregor and published by SAGE Publications. This book was released on 2017-10-25 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.

Using R for Introductory Statistics

Author : John Verzani
Publisher : CRC Press
ISBN 13 : 1315360306
Total Pages : 522 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Using R for Introductory Statistics by : John Verzani

Download or read book Using R for Introductory Statistics written by John Verzani and published by CRC Press. This book was released on 2018-10-03 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

Statistics in Psychology Using R and SPSS

Author : Dieter Rasch
Publisher : John Wiley & Sons
ISBN 13 : 047097124X
Total Pages : 565 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Statistics in Psychology Using R and SPSS by : Dieter Rasch

Download or read book Statistics in Psychology Using R and SPSS written by Dieter Rasch and published by John Wiley & Sons. This book was released on 2011-12-12 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data

Author : Ray W. Cooksey
Publisher : Springer Nature
ISBN 13 : 9811525374
Total Pages : 752 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Illustrating Statistical Procedures: Finding Meaning in Quantitative Data by : Ray W. Cooksey

Download or read book Illustrating Statistical Procedures: Finding Meaning in Quantitative Data written by Ray W. Cooksey and published by Springer Nature. This book was released on 2020-05-14 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

Introduction to Probability and Statistics Using R

Author : G. Jay Kerns
Publisher : Lulu.com
ISBN 13 : 0557249791
Total Pages : 388 pages
Book Rating : 4.5/5 (572 download)

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Book Synopsis Introduction to Probability and Statistics Using R by : G. Jay Kerns

Download or read book Introduction to Probability and Statistics Using R written by G. Jay Kerns and published by Lulu.com. This book was released on 2010-01-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.

Introduction to Probabilistic and Statistical Methods with Examples in R

Author : Katarzyna Stapor
Publisher : Springer
ISBN 13 : 9783030457983
Total Pages : 157 pages
Book Rating : 4.4/5 (579 download)

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Book Synopsis Introduction to Probabilistic and Statistical Methods with Examples in R by : Katarzyna Stapor

Download or read book Introduction to Probabilistic and Statistical Methods with Examples in R written by Katarzyna Stapor and published by Springer. This book was released on 2020-05-23 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.

The Book of R

Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593276516
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis The Book of R by : Tilman M. Davies

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Using R for Data Management, Statistical Analysis, and Graphics

Author : Nicholas J. Horton
Publisher : CRC Press
ISBN 13 : 1439827567
Total Pages : 299 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Using R for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2010-07-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes

Introduction to Statistics in Human Performance

Author : Dale P. Mood
Publisher : Taylor & Francis
ISBN 13 : 1351818821
Total Pages : 406 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Introduction to Statistics in Human Performance by : Dale P. Mood

Download or read book Introduction to Statistics in Human Performance written by Dale P. Mood and published by Taylor & Francis. This book was released on 2017-06-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Our goal is to give readers the knowledge and skill to use statistics effectively in their professional lives and feel comfortable doing so."--From the Preface This new textbook, by two renowned authors with many years of teaching experience, provides: A sound overview of statistical procedures and introduction to the basics of statistical analyses An informal perspective that enables students to read, interpret, and use statistics directly related to their chosen careers in the kinesiology field (e.g., exercise physiology, physical therapy, medicine, personal training, nurse practitioner, physician’s assistant, and more) Relevant examples, review questions, practice problems, and SPSS activities, which help to make the material understandable and interesting A student website with videos, interactive concept reviews, image bank, and PowerPoint slides offers students the tools they need to understand the statistical concepts and learn at their own pace

Interpreting and Using Statistics in Psychological Research

Author : Andrew N. Christopher
Publisher : SAGE Publications
ISBN 13 : 150630415X
Total Pages : 585 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Interpreting and Using Statistics in Psychological Research by : Andrew N. Christopher

Download or read book Interpreting and Using Statistics in Psychological Research written by Andrew N. Christopher and published by SAGE Publications. This book was released on 2016-08-30 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Basic Statistics for the Behavioral and Social Sciences Using R

Author : Wendy Zeitlin
Publisher : Oxford University Press
ISBN 13 : 019062020X
Total Pages : 334 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Basic Statistics for the Behavioral and Social Sciences Using R by : Wendy Zeitlin

Download or read book Basic Statistics for the Behavioral and Social Sciences Using R written by Wendy Zeitlin and published by Oxford University Press. This book was released on 2019-02-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-read for all professors and students endeavoring to learn basic statistics.

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

Author : Nicholas J. Horton
Publisher : CRC Press
ISBN 13 : 1482237377
Total Pages : 280 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Using R and RStudio for Data Management, Statistical Analysis, and Graphics by : Nicholas J. Horton

Download or read book Using R and RStudio for Data Management, Statistical Analysis, and Graphics written by Nicholas J. Horton and published by CRC Press. This book was released on 2015-03-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.

Statistics for Linguists: An Introduction Using R

Author : Bodo Winter
Publisher : Routledge
ISBN 13 : 1351677438
Total Pages : 327 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Statistics for Linguists: An Introduction Using R by : Bodo Winter

Download or read book Statistics for Linguists: An Introduction Using R written by Bodo Winter and published by Routledge. This book was released on 2019-10-30 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.