Syllabus
Updated A.Y. 2018-2019
Course Description
The course provides the basics of descriptive statistics and statistical inference, highlighting the potential applications in political, economic and social sciences.
Teaching Method
Classroom teaching, exercises, discussion of case studies.
Schedule of Topics
Topic 1 Univariate descriptive statistics: types of data; graphical representations; means; variability.
Topic 2 Bivariate descriptive statistics: contingency; correlation; simple linear regression.
Topic 3 Probability: elementary probability rules; random variables; common families of distributions; sampling distributions.
Topic 4 Statistical inference: point estimation; confidence intervals; statistical tests about hypotheses; multiple linear regression.
PLEASE FIND MORE INFORMATION ON THE COURSE ON THE SYLLABUS IN THE TEACHING MATERIAL SECTION