Statistics is a compulsory course aimed at introducing the basic statistical techniques for analysing data. Topics include exploratory data analysis, basic probability theory and statistical inference. Students will :
- learn to analyze and visualize data in R and create reproducible data analysis reports;
- acquire a theoretical understanding of statistical techniques and an appropriate critical sense in choosing the most suitable analysis for each data set;
- develop the ability to analyse real data sets and interpret the results.
There are no prerequisites, but students should have attended or are currently attending lectures on both Introduction to Computer Science and Programming and Mathematics.
- learn to analyze and visualize data in R and create reproducible data analysis reports;
- acquire a theoretical understanding of statistical techniques and an appropriate critical sense in choosing the most suitable analysis for each data set;
- develop the ability to analyse real data sets and interpret the results.
There are no prerequisites, but students should have attended or are currently attending lectures on both Introduction to Computer Science and Programming and Mathematics.
Canali
teacher profile teaching materials
variables and their measurement, univariate distributions, describing data with tables and graphs, measures of position, variability.
Bivariate descriptive statistics: independence, association, correlation, probability distributions for discrete and continuous variables, sampling distributions
Inference: estimation, hypothesis test
Programme
Descriptive statistics:variables and their measurement, univariate distributions, describing data with tables and graphs, measures of position, variability.
Bivariate descriptive statistics: independence, association, correlation, probability distributions for discrete and continuous variables, sampling distributions
Inference: estimation, hypothesis test
Core Documentation
A. Agresti, B. Finlay. Statistical methods for the social sciences. Pearson International Edition-4th edition (2009)Type of evaluation
The exam consists of a written test, with exercises and theoretical questions. The test is considered passed if the sufficiency is achieved both in the practical and theoretical part. It is not allowed to introduce any formulary and/or book in the exam room. It is allowed to introduce only the tables of probability distributions in the format made available on the course website. A candidate who has successfully passed the written test can request that the mark obtained in the written test be recorded, unless the oral test is requested by the teacher.