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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
9
B
SECS-P/08
9
B
IUS/04
6
B
SECS-P/01
9
B
SECS-P/08
9
B
SECS-S/03
6
B
SECS-P/12
Stage
6
F
-

2° Year   activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
9
B
SECS-P/08
6
B
SECS-P/08
9
C
SECS-P/08
9
B
SECS-P/07
9
C
SPS/07
Final exam
15
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
9
B
SECS-P/08
6
B
SECS-P/08
9
C
SECS-P/08
9
B
SECS-P/07
9
C
SPS/07
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
9
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Business Statistics  (2023/2024)

Teaching code

4S00522

Academic staff

Riccardo D'Alberto, Elena Dalla Chiara

Coordinator

Riccardo D'Alberto

Credits

9

Also offered in courses:

  • Business Statistics of the course Master's degree in Corporate governance and business administration

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre (lauree magistrali) dal Oct 2, 2023 al Dec 22, 2023.

Courses Single

Not Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

During the course, the main sources of official data will be studied and the main sampling techniques analyzed. The linear regression model will be introduced as one of the main statistical tools to examine survey data and for sales forecasting. Students will be provided with the cutting-edge statistical theory of sampling and linear regression model. These tools will then be applied to carry out market researches.

Prerequisites and basic notions

This course requires that the basic concepts of descriptive statistics and those of statistical inference be known.

Program

1. Data sources and company statistics
• Primary Data
• Secondary Data
• Open Data
• Sampling Principles for Market Surveys
2. Preparation and data management of company statistics
• Data Cleaning
• Data Visualization and Graphical Data Analysis
• Data Quality Assessment
3. Summary indicators and comparison of company statistics
• Index Numbers
• Measurement of Economic Aggregate Changes Over Time
4. Regression analysis
• Simple Linear Regression Model
• Multiple Linear Regression Model
• Introduction to Generalized Linear Models (GLM)
5. Evaluation, validation, and prediction of statistical models

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures are conducted in the classroom with the assistance of recordings and support from teaching materials provided to students by the professor, as well as examples and exercises carried out using R.

Learning assessment procedures

The assessment of learning is done through a written exam. The exam is structured as follows:
- 15 short-answer, multiple-choice, or calculated questions
- 3 open-ended questions
The questions may cover theoretical or methodological aspects, require the solution of exercises, and ask for discussion, comments, or analysis of applied problems based on the knowledge acquired during the course.
With the exception of supplementary materials, all the topics presented in class by the instructor, the sections of the textbooks listed in the bibliography relevant to the course program, and additional materials expressly included in the lesson plan are integral parts of the learning assessment.
If inconsistencies arise in the answers provided in the written exam or it is not possible to formulate an overall evaluation of the exam, the instructor reserves the right to summon individual candidates for an additional oral exam.
The oral exam may cover any topic from the course program and may result in a final evaluation equal to, higher than, or lower than the one obtained in the written exam, potentially altering the outcome in relation to the passing grade.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

The written exam, as well as the oral exam, aim to assess the understanding of the topics in the course program, mastery of technical language, clarity of presentation by the candidate, the ability to independently apply the statistical methods learned during the course, and approach the statistical analysis of business phenomena, providing a correct interpretation of the results.

Criteria for the composition of the final grade

Voto in trentesimi.

Exam language

Italiano