# 88188 - STATISTICS (7 CFU)

### Scheda insegnamento

• Docente Maroussa Zagoraiou

• Crediti formativi 7

• SSD SECS-S/01

• Modalità didattica Convenzionale - Lezioni in presenza

• Lingua di insegnamento Inglese

• Campus di Forli

• Corso Laurea in Economia e commercio (cod. 9202)

• Orario delle lezioni dal 21/02/2023 al 31/05/2023

## Conoscenze e abilità da conseguire

The course provides students with such statistical techniques as graphical tools and summary measures for single and multiple variables, estimation, and hypothesis testing for Gaussian and Binomial populations. At the end of the course students have (a) acquired knowledge of the main statistical techniques for exploratory data analysis and the fundamental concepts of probability and inference from random samples and (b) developed skills to solve elementary probability problems will be developed.

## Contenuti

Part 1 – EXPLORATORY DATA ANALYSIS

Introduction. The data matrix. Type of variables. Frequency tables. Cumulative frequency distribution. Graphical representations. Summary statistics of location (mean, median, mode) and dispersion. Linear transformations. Two-way tables: joint, marginal and conditional frequencies. Association of two quantitative variables, covariance and correlation. Linear regression.

Part 2 – PROBABILITY

Random events, uncertainty, axioms of Probability, conditional probability and Bayes theorem. Discrete and continuous random variables, Central Limit theorem.

Part 3 - STATISTICAL INFERENCE

Statistical models, population and sampling. Simple random samples and parametric inference. Parameters estimation and confidence intervals. Testing statistical hypotheses: normal and binomial models.

## Testi/Bibliografia

D.R. Anderson, D.J. Sweeney, T.A. Williams, J.D. Camm, and J.J. Cochran (2015). Statistics for Business and Economics. Cengage Learning.

## Modalità di verifica e valutazione dell'apprendimento

Written examination. In some cases, after the written exam, the lecturer may require an oral exam as a further tool of assessment of the student's preparation.

<18 fail

18-23 pass

24-26 satisfactory

27-28 good

29-30 very good

30 cum laude excellent

## Strumenti a supporto della didattica

Notes, exercises and slides.

## Orario di ricevimento

Consulta il sito web di Maroussa Zagoraiou