Design and Analysis of Experimental Data

The principles and applications of experimental design are covered. Completely randomized block design, Latin squares, balanced and nonorthogonal factorial experiments, and hierarchical designs are covered. Nested and nested-factorial experiments are included. Additional topics such as linear contrasts, orthogonal polynomials, and multiple comparisons are covered. Various applications in the fields of business and science are studied.