Now in its second edition, this introductory statistics textbook conveys
the essential concepts and tools needed to develop and nurture
statistical thinking. It presents descriptive, inductive and explorative
statistical methods and guides the reader through the process of
quantitative data analysis. This revised and extended edition features
new chapters on logistic regression, simple random sampling, including
bootstrapping, and causal inference.
The text is primarily intended for undergraduate students in disciplines
such as business administration, the social sciences, medicine,
politics, and macroeconomics. It features a wealth of examples,
exercises and solutions with computer code in the statistical
programming language R, as well as supplementary material that will
enable the reader to quickly adapt the methods to their own
applications.