DESCRIPTION OF COURSES
AS 502 BASIC DESIGN OF EXPERIMENTS (2L+1P) II
This course is meant for students of agricultural sciences other than statistics. Designing an experiment is an integrated component of research in almost all sciences. The students would be exposed to the concepts of design of experiments so as to enable them to understand the concepts involved in planning, designing experiments and analysis of experimental data.
Basic principles of design of experiments. Uniformity trials. Analysis of variance. Completely randomized design (CRD), Randomized complete block design (RCBD), Latin square design (LSD), Balanced incomplete block (BIB) design, Resolvable block designs and their applications: Alpha design and Lattice design-concepts. Randomization procedure, analysis and interpretation of results.
Factorial experiments (symmetrical as well as asymmetrical). Confounding in factorial experiments - application in 2n and 3n factorial experiments. Factorial experiments with extra treatment(s). Split plot and Strip plot designs.
Groups of experiments. Analysis of covariance. Missing plot technique and its application to RCBD, LSD. Cross-over design. Sampling in field experiments. Transformation of data. Response surfaces. Experiments with mixtures.
Uniformity trial data analysis, formation of plots and blocks, Fairfield Smith Law, Analysis of data obtained from CRD, RBD, LSD, Analysis of factorial experiments without and with confounding, Analysis of Covariance, Analysis with missing data, Split plot and strip plot designs, Groups of experiments, Transformation of data, Fitting of response surfaces.