English

Univariate and bivariate descriptive statistics. Most relevant inferential concepts (samples, statistics, estimators).

The course will be taught through theoretical lessons and hands-on classes, during which the students analyse and synthesize a number of datasets focused on economic and business research. Computer-based analyses will be also performed in the PC-lab using the open-source software R and gretl.

Students will acquire a good understanding of the statistical tools covered in the course as well as the ability to analyze economic and business datasets using appropriate statistical techniques.

Students must be able to study and to understand how to use statistical software for dataset analysis and report preparation.

The discussions as well as the practical applications that will take place during the course will enable students to enhance their autonomy and their analytical and communicative skills

The program will be focused on:
- Inferential statistics: point estimators, confidence intervals, hypothesis testing, p-value
- Multivariate linear regression
- Factor analysis
- Cluster analysis

Written exam concerning the methodological issues discussed during the course and a computer-based practical assignment (not mandatory) based on the analysis of a real data set.

Class participation: Weekly computer-based exercises will be also performed in the PC-lab. Weekly home-works will be assigned.

For students with disabilities or Specific Learning Disability (SLD) who have contacted the University Disability/SLD Info Point to request support for the specific curricular exam, please note that the way the exam is taken can be adapted in accordance with the University Guidelines (https://www.univpm.it/Entra/Accoglienza_diversamente_abili).

Students will be evaluated in their knowledge and understanding of the most relevant statistical tools for business analysis as well as in their ability to apply them to empirical problems and settings.

Positive grades: from 18 to 30. Cum laude can be bestowed to outstanding performance.

The final grade will be obtained throught a written exam with practical and theoretical questions.

- P. Newbold, W. Carlson, B. Thorne “Statistics for Business and Economics”, Prentice Hall (Chapters: 7-8-9)
- R.A. JOHNSON, D.W. WICHERN “Applied multivariate statistical analysis” Pearson International Edition (Chapters: 1, 2, 4, 7, 9, 11, 12)

Additional material will be available in the e-learning web page