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
| Modules | Credits | TAF | SSD |
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One module between the followingTwo modules among the following2° Year It will be activated in the A.Y. 2027/2028
| Modules | Credits | TAF | SSD |
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One module between the followingTwo modules among the following| Modules | Credits | TAF | SSD |
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One module between the followingTwo modules among the following| Modules | Credits | TAF | SSD |
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One module between the followingTwo modules among the following| Modules | Credits | TAF | SSD |
|---|
One module between the following:
- 1st year - Advanced international accounting - delivered in 2026/2027
- 2nd year - Business valuation - delivered in 2027/2028Legend | 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 (2026/2027)
Teaching code
4S00522
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
STAT-02/A - Economic Statistics
Period
Primo semestre LM dal Sep 28, 2026 al Dec 23, 2026.
Courses Single
Authorized
Learning objectives
The course aims at providing participants with the knowledge of statistical tools useful for analysing business phenomena, both with reference to market dynamics and management aspects. The contents of the course are structured so as to broaden the participants' statistical knowledge and strengthen the awareness with which they apply the statistical methods to the business context. The course aims to provide the tools for understanding and contributing to all stages of the statistical production process: from the data collection stage and the integration of statistical sources of data, to the analysis and production of results and evidences useful for the decision-making process of firms. The applicative approach of the course favours the development of skills for analysing and interpreting business phenomena through a critical use of statistical methodology.
Prerequisites and basic notions
The following knowledge related to basic descriptive statistics and statistical inference is assumed to be acquired prior to the course by the students:
• Frequency distributions (univariate, bivariate, multivariate, frequency distributions in classes).
• Measures of central tendency (arithmetic mean, geometric mean, weighted mean, mean for frequency distributions in classes, median, mode, quantiles, and quartiles).
• Measures of variability (range, interquartile range, variance).
• Normal distribution.
• Point estimation (definition and properties of estimators, point estimation of the mean, proportion, variance).
• Interval estimation (mean, proportion, variance).
• Hypothesis testing (theory of tests, tests on the mean, tests on the variance, p-value).
Program
Part I — Introduction and Data Collection
1. Introduction to the Course and Data Sources
2. Elements of a Statistical Survey
3. Statistical Sampling (Part I)
4. Statistical Sampling (Part II)
5. Introduction to the Use of Statistical Software
Part II — Exploratory Data Analysis
6. Information Representation
7. Index Numbers and Statistical Ratios
8. Time Series
Part III — Predictive Analysis
9. Cluster Analysis
10. Statistical Quality Control
11. Linear Regression (Part I)
12. Linear Regression (Part II)
13. Categories of Multivariate Relationships (Introduction to the Problem of Causality)
14. Multiple Linear Regression (Part I)
15. Multiple Linear Regression (Part II)
16. Logistic Regression
17. Evaluation of the Goodness of Prediction
18. Main Errors in Statistical Analyses
Bibliography
Didactic methods
Classroom lectures conducted with the support of teaching materials provided by the teacher (slides, exercises, etc.) and examples and exercises (also carried out with the aid of Excel and R software). In addition to lectures and applied activities, the course may include contributions from external guest speakers, aimed at exploring the strategic value of data for businesses, with reference to their collection, interpretation, and use in support of business decision-making.
Learning assessment procedures
The Final Exam consists of a written test with various questions, which may address theoretical or methodological aspects, require the solution of exercises, or require discussion, commentary, and analysis of applied problems based on the knowledge acquired during the course. All topics presented in class by the instructor are an integral part of the assessment. Students are not permitted to consult notes, books, or electronic devices during the exam. The written exam must be taken in person, on the days and at the times specified in the course exam calendar. Only students who have registered for the exam through the dedicated virtual platform are eligible to take the written exam.
Evaluation criteria
The written exam is aimed at assessing knowledge of the topics covered in the course syllabus, command of technical terminology, the candidate’s clarity of expression, the ability to independently apply the statistical methods learned during the course, and the ability to choose the most appropriate statistical techniques for the study of business phenomena, providing a correct interpretation of the results obtained.
The optional group laboratory activity is aimed at assessing the ability to apply the statistical techniques learned during the course to real data obtained from professional databases, as well as at developing and enhancing transversal skills, such as teamwork, the organization of an empirical project, and the communication of results.
Criteria for the composition of the final grade
Each question included in the final exam will be assigned a score, for a total of 32 points, and the final grade will be determined by the sum of the points obtained in each question.
The final grade may also include up to 2 additional points for the optional group laboratory activity. This activity does not replace the final written exam, which remains compulsory for all students.
Exam language
Italiano
