Module Details

Mathematics: statistics for environmental surveys and IT tools

MF0483

Course
Mathematics: statistics for environmental surveys and IT tools
Code
MF0483
Academic Year
2023/2024
Curriculum Year
2023/2024
Degree Programme
ENVIRONMENTAL STUDIES AND SUSTAINABLE DEVELOPMENT
Curriculum
A001 - GENERICO
Course coordinator
Lecturers
Credits
5
Lecture Hours
40
Scientific Disciplinary Sector (SSD)
MAT/05 - Mathematical Analysis
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
1
Teaching period
Secondo Semestre
Campus
VERCELLI
Teaching language
Italian
Course Contents
Types of statistical variables. Graphs. Position and variability indices. Hypothesis test. Bivariate analysis of qualitative and quantitative variables.
Reference Texts
Peter Dalgaard, Introductory Statistics with R, Springer 2008.

Numerous materials will be provided on the dir platform.
Learning Outcomes
Provide the student with the statistical and IT bases that are indispensable for the scientific and economic courses that the student will undertake during their studies.
Prerequisites
Elements of probability calculus
Teaching Methods
Lectures, exercises, project work
Additional Information
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Assessment Methods
Written quiz and oral presentation of a statistical survey
Detailed Syllabus
Introduction to statistics. Types of statistical variables. Charts: interpretation and production. Position and variability indices. Problems with mean and variance, median and quartiles. Hypothesis test: mean, proportion, two means and two proportions. Bivariate analysis of qualitative and quantitative variables: chi-square test and linear regression model.
Expected Learning Outcomes
The student will be able to master the tools of descriptive and inferential statistics to conduct basic statistical surveys.
Last update:09-09-2026 00:14:31