Biometry

Introduction to Biometry. Descriptive and Inferential Statistics. Confidence intervals. Parametric and non-Parametric statistical tests. Agricultural experimentation and introduction to Analysis of Variance (ANOVA). Introduction to linear models (general/mixed). Methodology for setting up and statistically analysing data coming from simple experiments (Completely Randomized Design, Randomized Complete Block Design, Latin Square Design, Balanced Lattice Design). Methodology for setting up and statistically analysing data coming from factorial experiments (with crossed and/or nested factor structure). Statistical analysis of data coming from split plot designs and designs with repeated measures. Statistical analysis of data coming from designs combined over locations and/or years. Multiple linear and non linear regression. Introduction to Multivariate-Multidimensional Data Analysis. Principal Components Analysis, Hierarchical Cluster Analysis, biplot-analysis, Discriminant Analysis. Statistical Analyses for categorical data. Contingency tests. Introduction to Correspondence Analysis. Analysis of biological data with statistical software.

Objectives

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Prerequisites

Syllabus

Not available