00914 - Statistics

Academic Year 2023/2024

  • Docente: Meri Raggi
  • Credits: 10
  • SSD: SECS-S/01
  • Language: Italian
  • Moduli: Meri Raggi (Modulo 1) Silvia De Nicolò (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Business Administration (cod. 8871)

Course contents

MODULE 1: Statistical variables. Population and sample. Collecting and organizing data. Data set and frequency distributions. Graphic representations. Mean values, mode, median and quantiles. Eterogeneity, variability and inequality measures. Shape: asimmetry and curtosis. Bivariate statistical analysis. Relationships between variables: statistical dependence, covariance and linear correlation. Simple linear regression. Introduction to sampling and statistical inference. Bayesian theorem. Random variables and probability distributions. Sampling. Point and interval estimation. Hypothesis testing. Linear regression models.

MODULE 2: Introduction to R. Basic notions of R and Rstudio software, notions of the R language and its syntax, as well as basic objects and their structure. Importing data, viewing and cleaning it, applying the main functions and graphs. Statistical analysis with R. Application of the statistical methods seen in module 1 on real data using R (both descriptive and inferential methods).

Readings/Bibliography

Student could chose a book in statistics. Some example are:

Module 1:

Borra S., Di Ciaccio A. (2020). Statistica, metodologie per le scienze economiche e sociali, McGraw-Hill.

Levine D.M., Szabat K., Stephan D.F. (2018). Statistica, Pearson.

Pacini B., Raggi M. (2009). Statistica per l'analisi operativa dei dati, Carocci Editore.

Piccolo D. (2010.) Statistica, Il Mulino.

Sullivan M., Zavarrone E. (2015). Fondamenti di statistica, Pearson.

 

Module 2:

Leva F., Masci C., Paganoni A.M., Laboratorio di statistica con R, Pearson, 2016, Milano. ISBN 8891901520

 

Additional teaching material will be available at e-learning Platform VIRTUALE

Teaching methods

lessons and exercises in class

Use of the VIRTUAL e-learning platform [https://virtuale.unibo.it/course/view.php?id=15904] to evaluate your preparation.

Assessment methods

The statistics exam is made up of two parts: written test and oral test.

Each written test includes: 3-4 exercises + 3-4 theory questions + an exercise commenting on some R outputs.

During the test you will be given a "formulario" which is the only material that can be consulted. Other types of notes are not permitted. The use of a calculator is permitted. The test has a maximum duration of 2 hours.

The oral test is mandatory for those who have obtained a sufficient mark in the written test, but less than 20 out of 30. It covers all the topics of the program and is aimed at deepening the verification of knowledge of the theory. The obtainable score varies from -3 to +3 and will be added to the grade of the written text. The oral test must be taken in the same exam session as the written test.

For the written test the student can choose whether to take 2 partial tests or a single total test.

For the total course mark, the part relating to the first module will weigh 80% while that relating to the second module will account for 20%.

Teaching tools

Elearning with VIRTUALE platform

Office hours

See the website of Meri Raggi

See the website of Silvia De Nicolò

SDGs

Quality education Reduced inequalities

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