Introduction to Statistics and Data Analysis
- with exercises, solutions and applications in R -

by Christian Heumann, Michael Schomaker and Shalabh

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

Solutions to R-Exercises

Solutions to Chapter 1
Solutions to Chapter 2
Solutions to Chapter 3
Solutions to Chapter 4
Solutions to Chapter 7
Solutions to Chapter 8
Solutions to Chapter 9
Solutions to Chapter 10
Solutions to Chapter 11
Pizza Delivery Data
Decathlon Data
Theatre Data