Introduction to Probability and Statistics - Pre-course Ademic Year 2019-2020

Introduction to Probability and Statistics 

To register, please fill-in the online form available here: https://forms.gle/e2m8bEjEnSwQGwec6

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.

The course will be held in Aula 15 - building CU035 (click here to see an annotated Campus map:
11 September 2019  from 15:00 to 18:00  
12 September 2019  from 15:00 to 18:00  
13 September 2019  from 15:00 to 18:00  
18 September 2019  from 15:00 to 18:00  
20 September 2019  from 15:00 to 18:00