- Docente: Cristina Bernini
- Credits: 3
- SSD: SECS-S/03
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Business Administration and Management (cod. 8842)
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from Apr 16, 2024 to May 20, 2024
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
Readings/Bibliography
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:
https://scienzeaziendali.unibo.it/it/dipartimento/servizi-tecnici-e-amministrativi/software-con-licenze-campus
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, lasting 75 minutes.
Teaching tools
Empirical case studies at the computer lab
Office hours
See the website of Cristina Bernini
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.