- Docente: Rosamarie Frieri
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Moduli: Rosamarie Frieri (Modulo 1) Rosamarie Frieri (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Sciences and Management of Nature
(cod. 9257)
Also valid for Campus of Ravenna
Second cycle degree programme (LM) in International Cooperation on Human Rights and Intercultural Heritage (cod. 9237)
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from Oct 16, 2023 to Jan 12, 2024
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from Sep 25, 2023 to Jan 12, 2024
Learning outcomes
By the end of the course, the student will learn the main statistical methods to deal with ecological, economical and social data, both using univariate and multivariate approaches. The student will have the capacity to deal with the practical applications of several statistical methods to real world cases and data.
Course contents
Theory - Module 1
Introduction to statistical theory. The data matrix and types of variables.
Univariate statistics. Frequency tables. Graphical methods to display data. Location measures: mean, median, mode. Measures of variability.
Bivariate statistics. Two-way tables: joint marginal and conditional distributions. Association, covariance and correlation.
Linear regression
Statistical Inference. Statistical models, population and sampling. Parametric inference: parameters estimation, confidence interval and tests. Brief introduction to tests for two sample comparisons.
Use of R - Module 2
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 on Health and Safety online
(https://elearning-sicurezza.unibo.it/?lang=en).
Introduction to R: what is R and RStudio? R grammar and data structures. Data import and cleaning. Functions, conditionals and iteration. Basic graphs.
Statistical analysis with R: application of statistical methods explained in the first Module through R (univariate statistics, bivariate statistics, linear regression and statistical inference).
Readings/Bibliography
G. Cicchitelli, P. D'Urso, M. Minozzo (2021) "Statistics - Principles and Methods", first edition. Pearson Italia.
Teaching Material on Virtuale
Teaching methods
Classroom lectures and Lab sessions.
Assessment methods
The final exam is composed as follows:
- Module 1: written test aims at verifying the general theory behind the studied statistical methods, application of the methods learned in the course to data and interpretation of results.
- Module 2: written test and a practical project. The practical project aims at verifying R knowledge and it will deal with a real ecological/environmental problem that might be solved using R-software. The practical project will be discussed through an oral presentation.
Teaching tools
Lecture notes, slides, R scripts and additional material posted on Virtuale.
Office hours
See the website of Rosamarie Frieri