The course provides primary knowledge about agricultural experimental designs and analysis of data.

Course description:

Basic Principles of Experimental Design (randomization; replication; local control); Size and shape of experimental units; Completely randomized design; A posteriori multiple and a priori comparisons tests; Randomized complete block design; Latin square design; Nested designs; Full factorial designs; Split plot and block design; Correlation and Linear Regression; Data transformation.

Teaching aids: ‘Agricultural Experimentation’ and ‘Factorial Designs’ by P.J. Kaltsikes and Statistical packages.

Examination: Written