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. In the
experimental sciences and interdisciplinary research, data analysis has
become an integral part of any scientific study. Issues such as judging
the credibility of data, analyzing the data, evaluating the reliability
of the obtained results and finally drawing the correct and appropriate
conclusions from the results are vital.
The text is primarily intended for undergraduate students in disciplines
like business administration, the social sciences, medicine, politics,
macroeconomics, etc. 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 all methods to their own applications.