96321 - STATISTICS AND PROGRAMMING

Anno Accademico 2021/2022

  • Docente: Laura Anderlucci
  • Crediti formativi: 10
  • SSD: SECS-S/01
  • Lingua di insegnamento: Inglese
  • Moduli: Laura Anderlucci (Modulo 1) Marco Novelli (Modulo 2) Marco Novelli (Modulo 3)
  • Modalità didattica: Convenzionale - Lezioni in presenza (Modulo 1) Convenzionale - Lezioni in presenza (Modulo 2) Convenzionale - Lezioni in presenza (Modulo 3)
  • Campus: Bologna
  • Corso: Laurea in Economics, politics and social sciences (cod. 5819)

Conoscenze e abilità da conseguire

By the end of the course students have acquired knowledge of the main statistical techniques for exploratory data analysis and the fundamental concepts of probability and inference from random samples. Moreover, they have developed skills to formalize and to solve the basic statistics problems using R.

Contenuti

Descriptive Statistics

Basic concepts. Frequency distributions. Describing data by graphs. Descriptive summary statistics: central tendency and variability measures. Association in contingency tables. Simple linear regression and correlation.

 

Probability

Basic concepts and Bayes theorem. Random variables. Central Limit theorem.

 

Statistical Inference

Random samples and sampling distribution of statistics. Point and interval estimation. Hypothesis testing.

 

Programming (with R)

Introduction to R: downloading and installing R (RStudio), R language essentials, data entry. Univariate and bivariate descriptive statistics. Probability distributions. Point estimation, confidence intervals and hypotheses testing.

 

During the course, datasets and examples of applications to economics and social sciences will be illustrated.

Testi/Bibliografia

Statistics textbook:

G. Cicchitelli, P. D'Urso, M. Minozzo (2021) "Statistics - Principles and Methods",  first edition. Pearson Italia, Milano-Torino.

 

Programming textbook:

P. Dalgaard (2008) "Introductory statistics with R", second edition. Springer, New York, NY.

Metodi didattici

Lectures and lab sessions.

Modalità di verifica e valutazione dell'apprendimento

The learning assessment is composed by a written test lasting 100 minutes. The written test is aimed at assessing the student's ability to use the learned definitions, concepts and properties and in solving exercises. During the written exam, students can use the formula sheet that is provided on virtuale.unibo.it and a pocket calculator only. Students cannot make use of the textbook, personal notes and mobile phones (smart watch or similar electronic data storage or communication device are not allowed either).

The written test consists of 20-25 questions, both multiple choice and open, with a final grade out of thirty.

Students that, despite having passed the exam, do not feel represented by the obtained result can ask to have an additional (optional) oral exam that can change the grade by +/-3 points.

Strumenti a supporto della didattica

Slides available on virtuale.unibo.it

Tutorials.

Orario di ricevimento

Consulta il sito web di Laura Anderlucci

Consulta il sito web di Marco Novelli

Consulta il sito web di Marco Novelli