Need for statistics in experimental planning and analysis in Food studies. Design and Analysis of Experiments. ANOVA. Analysis of data from sensory evaluations. Post-hoc comparisons of means. Data transformation. Non-parametric methods: Wilcoxon signed-rank test, Mann Whitney U test, Kruskal-Wallis and Friedman's test. Sampling design and techniques. Questionnaire design and development. Measures of reliability: Cronbach's alpha, Test-retest reliability using correlation and Cohen's kappa. Knowledge, Attitude and Practice (KAP) survey model. Consumer studies. Data processing using MINITAB and SPSS.
