Statistics Explained

Perry R. Hinton is a professor of applied linguistics at the University of Warwick, UK. He has a background in psychology, with research expertise in stereotypes and intercultural relations. He has, for many years, taught statistical analysis to a range of students, including from psychology, linguistics, education, communication and media studies, sociology, nursing and social work. As well as his publications in social and cultural psychology, he is also joint author of SPSS Explained (2023) and Presenting Your Data with SPSS Explained (2017), both published by Routledge.

• 1. Introduction 2. The Elements of Statistical Analysis 3. Null Hypothesis Significance Testing (NHST) 4. Issues with Null Hypothesis Significance Testing 5. The Analysis of Variance 6. The Interaction of Factors in the Analysis of Variance 7. Nonparametric Analysis 8. Correlation and Regression 9. Modelling Relationships between Variables 10. An Introduction to the General Linear Model 11. Bayesian Analysis 12. “Lies, Damned Lies, and Statistics”

"Statistical methods are an integral part of teaching and research in almost all disciplines in the age of data revolution. The authors have presented introductory, descriptive, and numerical methods, as well as univariate and multivariate model fitting and inferential statistical procedures in a very clear, simplified, and step-by-step illustrative way. This book will be helpful to college and university students, teachers, and researchers who wish to analyse and interpret observational and experimental data from different disciplines across the world." -- Professor Dr Shahjahan Khan, Vice Chancellor, Asian University of Bangladesh, Dhaka, Bangladesh