Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2017/2018
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Business Statistics (2016/2017)
Teaching code
4S00522
Teacher
Coordinator
Credits
6
Also offered in courses:
- Business Statistics of the course Master’s degree in Marketing and Corporate Communication
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
Primo semestre Magistrali dal Sep 26, 2016 al Jan 13, 2017.
Learning outcomes
The course aims at providing students with the statistical methods for the analysis of business data from different areas of a firm, supporting the decision making process within a firm. Topics are introduced by illustrating common business issues whose solutions can be found by applying statistical methods. By the end of the course, students will be able to:
- select the proper statistical method for a specific business analysis;
- perform preliminary analysis of business data, and organize data in a data structure useful for the following statistical analysis;
- apply univariate and multivariate statistical methods to business data;
- interpret results and provide managers with synthetic information for business decisions.
Program
Data sources and statistical information for business:
- Primary and secondary data
- Internal and external sources of data
Economic and business indicators:
- Simple index numbers
- Composite index numbers
- Consumer price indices and producer price indices
- Productivity indices
Statistical methods for analysing business data:
- Data matrix and preliminary data analysis: outlier detection and missing data imputation
- Association measures between categorical and ordinal variables, with application to Market Basket Analysis
- Distance measures for quantitative and categorical data
- Analysis of business results by using simple linear regression
Multivariate statistical analysis of customer and business data:
- Cluster Analysis
- Principal Components Analysis
- Conjoint Analysis
Introduction to statistical quality control:
- Process capability ratios
- Control charts for variables
- Control charts for attributes
- Analysis of variance
- Statistical sampling in auditing
Business forecasting:
- Delphi analysis
- Smoothing techniques: moving averages and exponential smoothing
- Techniques for decomposing economic time series applied to business
Suggested book: B. Bracalente, M. Cossignani, A. Mulas (2009) Statistica Aziendale, McGraw-Hill, Milano.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| B. Bracalente, M. Cossignani, A. Mulas | Statistica Aziendale | McGraw-Hill | 2009 |
Examination Methods
A mandatory written exam and an optional oral exam. Written exam is broken down into two parts:
- The first part comprises short-answer questions about the various topics of the course.
- The second part comprises i) an open question about a specific topic of the course, ii) two exercises in which students are asked to apply statistical methods for business data analysis and to interpret the results.
Oral exam is optional and a cut-off score on the written exam is required to do the oral exam.
