Data Collection, Representation and Analysis
A.Y. 2018/2019
Learning objectives
To professionalize students in data analysis concerning:
1) The evaluation of the impact of experimental variables and accuracy of model fitting through regression models and ANOVA
2) The evaluation of association patterns among several variables through multivariate analysis techniques
3) The use of R software , freely available , having the advantage to provide several libraries useful for statistical analysis of ecological end environmental data
1) The evaluation of the impact of experimental variables and accuracy of model fitting through regression models and ANOVA
2) The evaluation of association patterns among several variables through multivariate analysis techniques
3) The use of R software , freely available , having the advantage to provide several libraries useful for statistical analysis of ecological end environmental data
Expected learning outcomes
To evaluate statistical analysis which could be adequate according to study design and to the measurement scale of the variables recorded during sampling phase.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
SECS-S/01 - STATISTICS - University credits: 6
Practicals with elements of theory: 12 hours
Lessons: 40 hours
Lessons: 40 hours
Professors:
Biganzoli Elia, Boracchi Patrizia
Professor(s)
Reception:
On appointment (email)