Basic programming in R.
Data description using plots and tables; measures of center and dispersion. Main probability distributions. (1 CFU)
Statistical inference: parameter estimation and hypothesis testing. (1 CFU)
Concepts of modelling. The linear model. Mean and proportion comparisons. Analisis of variance. Linear regression. (2 CFU)
Elements of multivariate statistics. (2 CFU)
Handling of data generated from precision farming: food spectral analysis, production and managemetn data of farms, climate data (1 CFU)