- Hands-on experience with R, a powerful and freely available software.
- A comprehensive guide to interpreting and reporting results.
- Practice questions at the end of each chapter with answers and detailed explanations where necessary.
- A convenient summarised table presenting descriptive and inferential statistics applied in various research scenarios, for quick reference.
- Glossaries of key statistical terms and R functions.
- Anticipated questions that often arise in the mind of an inquisitive reader are addressed throughout the book.
- Availability of dummy datasets used in the book on GitHub.
Part 0: Getting Started
- Background Concepts
- Hypothesis Testing
- Handshake with R Studio
Part I: Univariate Analysis
- Univariate Analysis: Only One Variable
Part II: Bivariate Analysis
- Bivariate Analysis: With Binary Dependent Variable
- Bivariate Analysis: With Nominal Dependent Variable
- Bivariate Analysis: With Ordinal Dependent Variable
- Bivariate Analysis: With Metric Dependent Variable
- Bivariate Analysis: When Two Variables/Samples are Paired
Part III: Multivariate Analysis
- Multivariate Analysis: With Binary Dependent Variable
- Multivariate Analysis: With Nominal Dependent Variable
- Multivariate Analysis: With Ordinal Dependent Variable
- Multivariate Analysis: With Metric Dependent Variable
ISBN13:
978-93-91820-80-0
Weight:
0.00
Edition:
1st Edition
Language:
English
Title Code:
1307