For those who want to know the details! Distribution-free methods are primarily used for statistical hypothesis testing with smaller samples of non-normally distributed data. These distribution-free, non-parametric methods are briefly presented in 'Concise Statistics' by Jürgen Bortz. In this 3rd edition of 'Distribution-Free Methods in Biostatistics', the methods are prepared in such a way that readers without specific mathematical background can follow the calculations. Simple numerical examples from psychology, biomedicine, and social sciences illustrate the respective methods based on a uniform schema. Includes 47 significance tables. Suitable both as introductory reading and as a detailed reference work!.