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93372 - STATISTICA

Academic Year 2021/2022

                
                        Docente:
                        Maurizio Brizzi
                    
                        Credits:
                        6
                    
                        SSD:
                        SECS-S/01
                    
                        Language:
                        Italian
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            First cycle degree programme (L) in
                            Management and Marketing (cod. 8406)

                            Teaching resources on Virtuale

Learning outcomes

After attending this course, students will be able to manage the most important statistical techniques for detecting and analyzing economic and business-related sets of data.

Course contents

Some useful tools in exploratory statistics, both univariate and bivariate. Statistical ratios and index numbers. Human Develpoment Index (HDI). Indices of heterogeneity, relative variability and concentration. Linear regression and correlation. Statistical inference: point and interval estimation, testing of hypotheses (both parametric and non-parametric). Main features of sampling techniques.

Readings/Bibliography

Maurizio Brizzi. Introduzione alla probabilità e all'inferenza statistica (seconda edizione). Casa editrice libreriauniversitaria.it, Limena (PD), 2014.

lan Agresti, Christine Franklin. "Statistica. L'arte e la scienza d'imparare dai dati". Pearson Italia, Milano, 2016.

Some working sheets written in English will be eventually available.

Teaching methods

Direct-presence lessons (or eventually online lessons with Microsoft Teams), that will be integrated by exercise sessions, in a classroom or in a laboratory.

Assessment methods

a) Written examination with numeric application of the methods presented during the course (excluding sampling methods). The test is composed by three exercises: the first one concerns descriptive statistics, the second one is related to statistical inference, the third one is a test of hypothesis. The value of each exercise can range between 9 and 12 points.

b) Final oral test including every topic of the course.

* Erasmus students have the possibility to take only the oral part of the exam.

* Evaluation scale:

30 e lode (A+) = excellent

29 - 30 (A) = very good

27 - 28 (B+) = good

25 - 26 (B) = fairly good

22 - 24 (C) = more than sufficient

20 - 21 (D) = fully sufficient

18 - 19 (E) = just sufficient

Teaching tools

Some working sheets (in Power Point) will be available to students, covering all the topics of the course. If necessary, teaching sheets will be available also in English .

Office hours

See the website of Maurizio Brizzi