Description 
1 online resource (xv, 178 pages) 
Contents 
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 
Summary 
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 nonmathematical, simulationbased 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 selfinstruction, 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, selfcontained 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 
Bibliography 
Includes bibliographical references and index 
Notes 
Print version record 
Subject 
Mathematical statistics  Simulation methods


Mathematical statistics  Computer simulation


Mathematical statistics  Computer simulation.

Form 
Electronic book

Author 
Broe, Michael B.

ISBN 
9783642163135 

3642163130 

3642163122 

9783642163128 
