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
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