Introduction to principles and procedures of experimental designs. Concept of analysis of variance (ANOVA) and multiple comparisons. Systematic discussion of basic designs: completely randomised designs, randomised block designs, Latin square designs; from point of view of blocking, error reduction and treatment structure. Factorial design, 2k factorial designs, confounding and fractional factorial designs, general factorial designs, Analysis of co-variance. Response surface methodology and optimal designs. Analysis of experiments via SPSS/R/SAS. -- Course Website
Prerequisites: 310532 (v.1)<br/> Statistical Data Analysis 102<br/> <br/> or any previous version
