This book covers all the topics found in introductory descriptive
statistics courses, including simple linear regression and time series
analysis, the fundamentals of inferential statistics (probability
theory, random sampling and estimation theory), and inferential
statistics itself (confidence intervals, testing).
Each chapter starts with the necessary theoretical background, which is
followed by a variety of examples. The core examples are based on the
content of the respective chapter, while the advanced examples, designed
to deepen students' knowledge, also draw on information and material
from previous chapters.
The enhanced online version helps students grasp the complexity and the
practical relevance of statistical analysis through interactive examples
and is suitable for undergraduate and graduate students taking their
first statistics courses, as well as for undergraduate students in
non-mathematical fields, e.g. economics, the social sciences etc.