Teacher
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OROPALLO Filippo
(syllabus)
1. Descriptive statistics (chapters 1 to 6 and 16) - Descriptive analysis of a data set: 1.1 Basic concepts; 1.2 Distribution of a statistical variable and its graphical representation; 1.3 Central tendency; 1.4 Statistical dispersion and shape of a distribution; 1.5 Index numbers and ratios; 1.6 Double distributions and relationships between two variables; 1.7 Simple linear regression model (chapter 16).
2. Statistical inference (chapters 8 to 14) - Statistical-inductive processes to generalize the results to the reference population: 2.1 Uncertainty and probability measures; 2.2 Random variables and probability distributions; 2.3 Central Limit Theorem; 2.4 Sampling, estimators and distributions of sample estimates; 2.5 Point estimation; 2.6 Interval Estimation; 2.7 Statistical hypothesis testing: tests on averages and proportions.
(reference books)
BORRA, DI CIACCIO, Statistica, metodologie per le scienze economiche e sociali, III ed. Mc-Graw Hill, 2014
Statistica descrittiva (capitoli da 1 a 6 e 16): capitolo 1; capitolo 2; capitolo 3 (con il paragrafo 3.4 da leggere); capitolo 4; capitolo 5; capitolo 6 (escluso 6.7 e con il 6.8 da leggere); capitolo 16 (escluso 16.6).
Statistica inferenziale (capitoli da 8 a 14): capitolo 8 ; capitolo 9 (escluso 9.9); capitolo 10; capitolo 11; capitolo 12 (escluso 12.6); capitolo 13 (escluso 13.8); capitolo 14 (fino a 14.3 incluso).
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