This introductory statistics textbook is
available from Springer here.
The book 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. Data analysis has become an integral
part of scientific studies, including experimental
sciences and interdisciplinary research. 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 and self-learners
in disciplines like business administration,
the social sciences, medicine, politics,
psychology and others. 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. A list
of errata and corrections can be downloaded here
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