85257 - Laboratory of Quantitative Methods for Business

Academic Year 2024/2025

  • Teaching Mode: Traditional lectures
  • Campus: Rimini
  • Corso: Second cycle degree programme (LM) in Business Administration and Management (cod. 8842)

Learning outcomes

At the end of the course, students are able to analyze economic and business data through the use of basic statistical methods. Moreover, the course educates students in essential statistical-computer skills for the quantitative analysis.

Course contents

  1. Data management
  2. Index numbers
  3. Descriptive statistics
  4. Probability
  5. Inference
  6. Regression

R programming

Readings/Bibliography

Refrences:

Giuseppe Cicchitelli (2001), Probabiltà e Statistica, Seconda Edizione. Maggioli Editore.

Giuseppe Cicchitelli, Pierpaolo D'Urso, Marco Minozzo (2017), Statistica: principi e metodi, Terza Edizione, Pearson.

Additional reference for basic R:

Giuseppe Espa, Rocco Micciolo (2014), Problemi ed Esperimenti di Statistica con R, Apogeo.

Teaching methods

Alterning theory lectures (review of statistical skills), presentation of case studies on business and economic phenomena and practical lectures with the use of the statistical software R.

Assessment methods

Written Exam

Teaching tools

PC, video projector.

Office hours

See the website of Anna Gloria Billè