Scheda insegnamento
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Docente Maroussa Zagoraiou
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Crediti formativi 7
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SSD SECS-S/01
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Modalità didattica Convenzionale - Lezioni in presenza
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Lingua di insegnamento Inglese
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Campus di Forli
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Corso Laurea in Economia e commercio (cod. 9202)
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Orario delle lezioni dal 21/02/2023 al 31/05/2023
Anno Accademico 2022/2023
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.
Metodi didattici
Traditional lectures and homework.
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.
Grades:
<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
Alumni