Updated A.Y. 2019-2020
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.
Textbook and Materials
Textbook
Alan Agresti, Christine Franklin, “Statistics: The Art and Science of Learning From Data” Pearson; 4th International Edition, ISBN 9781447964186.
Further reading
Alan Agresti, Barbara Finlay, “Statistical Methods for the Social Sciences”, Pearson; 4th Edition.
PLEASE FIND MORE INFORMATION ON THE COURSE ON THE SYLLABUS IN THE TEACHING MATERIAL SECTION
