ADVANCED STATISTICS

Second cycle degree in SUSTAINABLE AGRICULTURE

Campus: LEGNARO (PD)

Language: English

Teaching period: First Semester

Lecturer: ANTONIO BERTI

Number of ECTS credits allocated: 8


Syllabus
Prerequisites: Basic statistical knowledge (frequency distributions, representation of data, parametric test for mean comparison, linear regression)
Examination methods: The final evaluation will be by means of written exam and by means of the preparation and exposition of a group work
Course unit contents: Planning and analysis of complex experiments, factorial ANOVA and concept of interaction between factors
- Variability of measurements: type of data, constraints in the application of factors
- Time and space variability
- Review of ANOVA concept and factorial ANOVA
- Interaction between factors, examples of first- and higher- order interactions
- Experimental plans: completely randomised, randomized blocks, latin squares, split-plot and split-block
- Assumptions of ANOVA and test of assumptions, transformation of data
- Non parametric tests for between groups comparisons and for relationship between variables. Analysis of categorical data
- Analysis of continuous variables, linear and non linear models, multiple linear regression, evaluation of fitting of non-liner models
- Comparison between different models, measure of the relative quality of a statistical model