La Sapienza - Università di Roma

Introduction to Probability and Statistics 

Course description:
The course covers some essential notions of descriptive statistics, probability and inferential statistics needed to have a less steep learning curve in approaching statistical courses at Master level. Main topics include: basics of descriptive statistics, types of data, frequency tables, graphs, measures of position, measures of variability, measures of association, linear regression, basics of probability, random variables, main discrete distributions, main continuous distributions, moments, standardization, basics of inferential statistics, point estimation, interval estimation, hypothesis testing. The course combines the theory with a more practical approach, with examples and the analysis of data from the real world.

Suggested textbook:
Agresti, Franklin and Klingenberg (2017), Statistics: The Art and Science of Learning From Data, Pearson.

Schedule:
11 September 2019  from 15:00 to 18:00   Aula 15 CU035 (map)
12 September 2019  from 15:00 to 18:00   Aula 15 CU035 (map)
13 September 2019  from 15:00 to 18:00   Aula 15 CU035 (map)
18 September 2019  from 15:00 to 18:00   Aula 15 CU035 (map)
20 September 2019  from 15:00 to 18:00   Aula 15 CU035 (map)