- Data sources and statistical information for business decisions.
- Sample surveys: different steps, sample design, systematic errors, questionnaire.
- Data matrix and preliminary data analysis.
- Measurement and interpretation of the relationships between business variables. Simple linear regression model.
- Probability and Inference: random variables, point estimation, confidence intervals, hypothesis testing.
- Multivariate statistical analysis for business data and company business performances: multiple linear regression model; logistic regression.
- Measures of firm efficiency. Frontier analysis methods: different approaches to efficiency measurement; parametric methods: Stochastic Frontier Analysis (SFA);
non-parametric methods: Data Envelopment Analysis (DEA).