Hours:
18 hours (4 credits)

Room:

From remote by using Microsoft Teams. The link will be sent in due time to all students who registered to the seminar.

To register to the course, click here

Short Abstract:

This course aims to provide attendants with statistical tools for handling data collection, base statistical testing and linear modeling, including ANOVA, non-parametric tests and Linear Regression framework.

The course is focused on solving the major problems and difficulties encountered during the analysis of data collected from open field experiments, therefore subject to high variability due to factors that are not always controllable or measurable, data loss, difficulty of replication of experiments over time and large and variable surfaces.

The course will consist of classes explaining the theory and practical exercises related to the applications, by using the statistical software R. Attendants will be provided with sample code in R notebooks. Attendants can then use the codes provided to test, replicate and adapt the statistical models presented during the lectures to their own data.

Course Contents in brief:

Proposal for 6 lectures, 3 hours each, divided into theory and practice

1. Descriptive statistics, centrality and variability measures
2. Sampling methods
3. Principles of Design of Experiments
4. Hypothesis testing
5. ANOVA and Contrasts
6. Linear Regression and Post hoc tests

Schedule:

1. 20/01/2021, 9:30 - 12:30
2. 27/01/2021, 9:30 - 12:30
3. 03/02/2021, 9:30 - 12:30
4. 10/02/2021, 9:30 - 12:30
5. 17/02/2021, 9:30 - 12:30
6. 24/02/2021, 9:30 - 12:30