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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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