85257 - Laboratory of Quantitative Methods for Business

Course Unit Page


This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Decent work and economic growth Industry, innovation and infrastructure Responsible consumption and production

Academic Year 2021/2022

Learning outcomes

This course aims at providing students with the ability to analyze univariate and multivariate data of economic and business phenomena. The course educates students in essential statistical-computer skills for the quantitative analysis. In particular, student: has the operational tools for the analysis of case studies in different application areas; - is able to use the most widespread and recently developed statistical software; perform descriptive and exploratory analyzes on business and economic data sets.

Course contents

- Loading and exporting data
- Creating and transforming variabes. Management of missing data
- Univariate distributions and their graphical representation
- Summarisation of univariate distributions: measures of scale and variability
- Contingency tables and related indices
- Regression analysis


Hamilton, L. C., Statistics with STATA: Version 12, 8th Edition, Cengage, 2012.

It is possible to use STATA using the Unibo license, available at the following link:



Teaching methods

Alterning theory lectures (review of statistical skills), presentation of case studies on business and economic phenomena  and practical lectures in the computer lab.

 As concerns the teaching methods of this course unit, all students must attend Module 1, 2 [https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online”.

Assessment methods

At the end of the course, students are expected to hold the following competences: the ability to apply statistical methods and tools presented during the course; the ability to use statistical results to interpret the phenomenon under analysis. Knowledge and competences acquired are assessed through a written exam held in a computer laboratory

Teaching tools

Empirical case studies at the computer lab

Office hours

See the website of Cristina Bernini