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Statistics with R
A Beginner's Guide
Second Edition
Additional resources:
November 2022 | 448 pages | SAGE Publications Ltd
Statistics is made simple with this award-winning guide to using R and applied statistical methods.
With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience. With a wealth of hands-on exercises and online resources created by the author, practice your skills using the data sets and R scripts from the book with detailed screencasts that accompany each script.
This book is ideal for anyone looking to:
• Complete an introductory course in statistics
• Prepare for more advanced statistical courses
• Gain the transferable analytical skills needed to interpret research from across the social sciences
• Learn the technical skills needed to present data visually
• Acquire a basic competence in the use of R and RStudio.
This edition also includes a gentle introduction to Bayesian methods integrated throughout.
The author has created a wide range of online resources, including: over 90 R scripts, 36 datasets, 37 screen casts, complete solutions for all exercises, and 130 multiple-choice questions to test your knowledge.
With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience. With a wealth of hands-on exercises and online resources created by the author, practice your skills using the data sets and R scripts from the book with detailed screencasts that accompany each script.
This book is ideal for anyone looking to:
• Complete an introductory course in statistics
• Prepare for more advanced statistical courses
• Gain the transferable analytical skills needed to interpret research from across the social sciences
• Learn the technical skills needed to present data visually
• Acquire a basic competence in the use of R and RStudio.
This edition also includes a gentle introduction to Bayesian methods integrated throughout.
The author has created a wide range of online resources, including: over 90 R scripts, 36 datasets, 37 screen casts, complete solutions for all exercises, and 130 multiple-choice questions to test your knowledge.
Chapter 1: Introduction and R Instructions
Chapter 2: Descriptive Statistics: Tabular and Graphical Methods
Chapter 3: Descriptive Statistics: Numerical Methods
Chapter 4: Introduction to Probability
Chapter 5: Discrete Probability Distributions
Chapter 6: Continuous Probability Distributions
Chapter 7: Point Estimation and Sampling Distributions
Chapter 8: Confidence Interval Estimation
Chapter 9: Hypothesis Tests: Introduction, Basic Concepts, and an Example
Chapter 10: Hypothesis Tests about Means and Proportions: Applications
Chapter 11: Comparisons of Means and Proportions
Chapter 12: Simple Linear Regression
Chapter 13: Multiple Regression
Supplements
A reading list document with clear guidance to support students working on their individual student projects at MA level- clearly written with relevant examples to support.
School of Education and Community, Wrexham Glyndwr University
February 21, 2024
This is a really useful book and will be useful as a teaching resource for myself as a lecturer. It would be useful for MSc students but I think might be a little confusing for my BSc cohort
School of Education, Bedfordshire University
September 11, 2023
This is a perfect book for R education. Thank you.
Communication Dept, Wayne State University
March 27, 2024
Too advanced for my students. Need something simpler.
Geosciences Dept, Texas Tech University
February 23, 2024
Not as basic as I would have liked.
Allied Health & Medicine (Cambridge), Anglia Ruskin University
January 25, 2023
Useful book, but perhaps not aimed at the total beginner students I am working with. This seems more directed for those working in social statistics - which would be well placed
Social Science, Swansea University
October 18, 2023
Due to its contents and the clarity of the presentations.
Interdiscipline, Universidad de Zaragoza
April 1, 2023
