Content: The course seeks to introduce students to (i) the fundamentals of experiments and its uses, (ii) basic statistics including ANOVA, curvilinear regression and multiple regression, (iii) experimental designs such as RCBD, BIBD, Latin Square, factorial and fractional factorial designs, (iv) application of statistical models in analyzing experimental data, (v) RSM to optimize response of interest from an experiment, and (vi) the use of software such as GenStat and SPSS.

Objective:To expose students to how to design experiment, analyze and interpret experimental data.

Reading materials

1. Mead, R., Curnow, N and Hasted, A. M. 1994. Statistical Methods in Agriculture and Experimental Biology, 2nd Edn. Chapman and Hall.
2. Snedecor and Cochran, W.G. 1989. Statistical Methods. 8th Edn. Iowa State Univ. Press. Iowa, USA.
3. Steel, R.G.D and Torrie, J.H. 1980. Principles and Procedures of Statistics. A Biometrical Approach. 2nd Edn. McGraw Hill International Edns.