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Statistical Analysis in Simple Steps Using R
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Statistical Analysis in Simple Steps Using R

  • Kiran Pandya - Department of Human Resource Development, Veer Narmad South Gujarat University, Surat
  • Prashant Joshi - Department of Management, Uka Tarsadia University, Bardoli, Surat
  • Smruti Bulsari - Assistant Professor, Department of Human Resource Development, Veer Narmad South Gujarat University, Surat


September 2018 | 344 pages | SAGE Publications Pvt. Ltd

An open and dynamic software for statistical analysis, R has become increasingly popular among students and researchers alike for its powerful language and graphical abilities. This book incorporates a step-by-step approach to the basics of statistical tests, the prerequisites and assumptions, the procedures, and outputs and their interpretation all through the lens of R. It is a concise guide to procuring and using R, identifying the types of tests to examine different types of research questions, and the sequential steps for undertaking statistical analysis. Intended largely for readers who are new to statistics or R or to both, this textbook addresses the problems in statistical analysis often faced by the students of social science, education, and management.

Key Features

• Provides the necessary foundation for exploring the frontiers of data science

• Gives an overview of statistical techniques applicable to both cross-section and time-series data analysis using R

• Exercises provided at the end of the chapters to help the readers reinforce their learning 

• Applications of statistical techniques covering wide range of subject areas with examples from social sciences and medical sciences

• Robust companion website that includes practice problem datasets for students and solutions to problems, chapter-wise PPTs and teaching modules for instructors

 
Foreword by Dilip M Nachane
 
Preface
 
Acknowledgments
 
Introduction
 
Data Management in R
 
Describing Data Graphically
 
Descriptive Statistics
 
Parametric Tests
 
Analysis of Variance
 
Two-Way Analysis of Variance
 
Analysis of Covariance
 
Correlation Analysis
 
Linear Regression Analysis
 
Nonparametric Tests
 
Principal Components and Factor Analysis
 
Logistic Regression
 
Cluster Analysis
 
Multidimensional Scaling
 
Introduction to Time Series Analysis
 
Volatility Analysis
 
Bibliography
 
Index

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Paperback
ISBN: 9789352807109
£30.00