Dr. Vigor L. Anderson is a Professor of Statistics at Purdue University and is currently an University Associate with Bayer and McElrath Inc. Management Consultants, Detroit. He has been a statistical consultant to nearly every department at Purdue and to more than 25 industrial organizations, as well as to the Highway Research Board of the National Academy of Sciences. Dr. Anderson’s research interest concerns the application of statistics to various disciplines and he has published widely in diverse technical and scientific journals. He was Director of the NIH Biometry Trainee Program (1957-1971) and of the Statistics and Computing laboratory at Purdue (1956-1966). Dr. Anderson has also taught and organized courses on statistical methods and design of experiments in many industrial organizations. He is a Fellow of the American Statistical Association and a member of numerous professional and honorary societies.

• Review of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices

"Professors Anderson and McLean have done a noteworthy job of writing a text dealing with experiments. . . .a valuable contribution to the experimental design literature and it is strongly recommended for your statistical library. "---Journal of Qualtiy Technology"The authors employ a wide range of examples to illustrate the theory and practice of experimental design. . .For the teacher, the examples analyzed fully and others outlined as problems for the student will prove useful source of ideas. . . .refreshingly different from other texts. "---Nature"The material in this textbook has been thoroughly tested in the classroom by both of the authors. The reviews enthusiastically recommends it for use as a text. . .This book will also serve as valuable reference work for practitioners. "---Mathematical Review