The Foundations of Statistics: A Simulation-Based Approach

ISBN-13: 9783642423444 / Angielski / Miękka / 2014 / 178 str.

Shravan Vasishth;Michael Broe

Opis

Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research -- they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. "Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended." Harald Baayen, Professor of Linguistics, University of Alberta, Canada "By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book's coverage." Colin Phillips, Professor of Linguistics, University of Maryland, USA

Recenzje

From the reviews:

"Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Students will find the simulation-based approach using R very helpful for acquiring an intuitive appreciation of the central concepts and ideas of statistical analysis. Highly recommended."

Harald Baayen, Professor of Linguistics, University of Alberta, Canada

"My students very much appreciated the simulation-based approach of the text, the fact that it was based upon a powerful, cross-platform analysis package (i.e., R), and the fact that it dealt with issues that are very relevant to the analytical problems that they encounter in their own research. By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book's coverage."

Colin Phillips, Professor of Linguistics, University of Maryland, USA

"The Foundations of Statistics provides a step-by-step guide to introductory statistics. ... this is an introductory text for non-mathematicians, specifically those in the field of linguistics. ... The topics presented make it also relevant for students in other fields of the social sciences. The book provides a very non-theoretical and non-technical introduction to topics in statistics ... . the book serves its intended purpose very well. I would happily use it in undergraduate courses for social science students." (Ita Cirovic Donev, The Mathematical Association of America, September, 2011)

Spis treści

1. Getting Started.- 2. Randomness and Probability.- 3. The Sampling Distribution of the Sample Mean.- 4. Power.- 5. Analysis of Variance (NOVA).- 6. Bivariate Statistics and Linear Models.- 7. An Introduction to Linear Mixed Models. A. Random Variables.- B- Basic R Commands and Data Structures.- Index.- References.