Teacher
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CARUCCI Federica
(syllabus)
Frontal Teaching: 21 hours Course introduction. Content and organization, final exam methods. Overview of research in agriculture in Italy and the global context. Bibliographic research. Data. Inductive and deductive methods. Basic concepts of experimental methodology. Sampling. Descriptive statistics: frequency distribution, measures of central tendency, measures of dispersion. Data presentation. Theoretical frequency distributions. Normal distribution. Central Limit Theorem. Statistical tests for parametric and non-parametric mean comparisons. Student's t-test: assumptions, data transformation, paired and unpaired data, Fisher's F-test. Comparisons between groups of means. Analysis of variance (ANOVA) for one factor. Assumptions, ANOVA operation. ANOVA for completely randomized and randomized block experimental designs. Multiple comparisons of means using least significant difference (LSD) and post-hoc comparison tests. Experiments with 2 or more factors, the concept of interaction. ANOVA for factorial and split-plot experimental designs. Relationships between two variables: parametric correlation (Pearson), and simple linear regression.
Exercises: 27 hours Computer exercises on the topics covered in the lectures are performed during the exercises. Real experimental data and instructions for their analysis are provided, and students are encouraged to independently perform data analysis using MS Excel for Windows and the DSAASTAT plug-in (available for download on the Moodle platform).
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