Content: The course is designed to cover elements of experimentation, principles of experimental designs, sample experimental design, some problems in experimentation and possible remedies, one sample and two-sample hypothesis, linear and non-linear models, complex relationships, analysis of covariance, probability and distribution estimation and hypothesis testing and practicals multivariate analysis.

Objectives:

1. To expose the students to statistical concepts and methods.
2. To equip students to be able to use appropriate computer programmes to design experiments and analyse data.

Reading materials

1. Lindeman, H.R. 1974. Analysis of variance in Complex Experimental Designs. W.H. Freeman, San Francisco.
2. Mead, R., Curnow, N and Hasted, A. M. 1994. Statistical Methods in Agriculture and Experimental Biology, 2nd Edn. Chapman and Hall.
3. Snedecor and Cochran, W.G. 1989. Statistical Methods. 8th Edn. Iowa State Univ. Press. Iowa, USA.
4. Steel, R.G.D and Torrie, J.H. 1980. Principles and Procedures of Statistics. A Biometrical Approach. 2nd Edn. McGraw Hill International Edns.
5. Webster, R. and Oliver, M.A. 1990. Statistical Methods in Soil and Land Resource Survey. Oxford Univ. Press, Oxford, UK