Basic concepts of experimental designs: treatments, factors, plots, blocks, randomisation, replication, local control, precision. Completely randomised design, randomised block design, Latin square design, missing observations in designs, balanced incomplete block design, analysis of variance and covariance, one-way, two-way and three-way classifications with and without interactions, treatment comparisons, orthogonality, problems with multiple comparison tests. Incomplete block designs, balanced incomplete block designs, split plot designs. Factorial experiments, interaction effect, main effect. 2n, 3n factorial designs, P Q R Factorial designs, Yates' algorithm, advantages and disadvantages of various designs. Computer implementations using appropriate statistical software and calculator.
Contact hours:
Four lectures/tutorials and one computer lab per week.Assessment:
Two tests (15%), approximately four assignments (15%), project (10%) and final exam (60%).Prerequisite: 1.30812 and 1.20804
Text:
Joshi D. D., 1990, Linear Estimation and Design of Experiments, Wiley Eastern, New Delhi
Giri N., 1986, Analysis of Variance, South Asian Publishers, New Delhi