This easily understandable book emphasizes the importance of formulating a precise research question and developing an optimal experimental design before starting any research work. This design also includes the minimum experimental scope for given acceptable risks. After an introduction to the construction of block designs, confidence estimates, selection procedures, and tests for means, probabilities, and variances are presented. In addition to the well-known methods, sequential triangle tests are included, which often lead to savings in observations. One chapter is dedicated to variance analysis, while another focuses on regression and correlation analysis. Both experimental design and evaluation utilize commercial software packages. The book is aimed at students, doctoral candidates, and researchers working empirically. It only requires basic knowledge of statistics.