Experimental Design and Data Processing

Author: Liu Zhenxue
Publisher:
Publish Date: 2005-04-01
Features: This book mainly includes three parts: data processing fundamentals, experimental design methods and applications, and an introduction to computer data processing software. It covers measurement values and errors, the distribution of random errors, error propagation, and other topics in error theory. It introduces data processing methods and applications such as statistical testing, analysis of variance, regression analysis, and cluster analysis. It also discusses methods to improve the accuracy of analytical chemistry and quality control methods. It presents orthogonal experimental design, multi-factor sequential experimental design, randomized block design, and Latin square design methods and applications. Finally, it provides a brief introduction to the currently popular large-scale statistical software SPSS (Statistical Program for Social Sciences), and includes exercises and commonly used statistical tables at the end of the book. The book focuses on introducing basic concepts and theories, and on this foundation, it introduces various statistical methods in chemical engineering, medicine, environmental testing, mineral processing, and other fields, emphasizing quality control and experimental design. This textbook is suitable for undergraduate students and postgraduate students in technology, engineering, and science disciplines, particularly for undergraduates and postgraduates in chemical engineering, mineral processing, medicine, and environmental science. It can provide significant assistance to researchers in experimental design and is also suitable for self-study by analytical chemists.