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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
Knowledge of general mathematics and descriptive statistics.
Objectives
Contents The course is divided into the following points:
Availability and production of statistical information for business decisions.
Sample surveys.
Data matrix and preliminary data analysis.
Measurement and interpretation of relationships between business variables.
Probability and inference.
Multivariate statistical analysis for business data and company business performances.
Measures of firm efficiency. Frontier analysis methods.
Extended Syllabus - 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).
Recommended Bibliography - Cicchitelli G., D’Urso P., Minozzo M. Statistica: principi e metodi. Pearson, Milano
(for the following topics: probability and inference).
- Bracalente B., Cossignani M., Mulas A. Statistica aziendale. Mc-Graw-Hill, Milano.
Other supporting material provided by teacher will be available on the e-learning page.
Methods of Provision
Teaching Methods The course includes 72 hours of lessons divided into 3 weekly lessons and will be organized in frontal lessons, exercises, case studies.
Frequency is recommended.
Evaluation methods Verification of learning:
The assessment of the learning level will be carried out with the use of a written test.
Formative evaluation activities are also planned in itinere.
The written examination consists of: i) both open and multiple choice questions about topics covered during the course; ii) exercises in which students are asked to solve real case-studies using statistical methods presented during the course.
The exam score is on a 30-point scale.
Contacts/More Information E-mail: agnese.rapposelli@unich.it
Reception hours: Tuesday 10.30 -12.30
All information concerning the course and other learning materials will be available on fad.unich.it (on the e-learning page named Statistics 2).