International Economic and Financial Relations

Part I. Univariate analysis of statistical data 1 Basic concepts 2 Frequency distributions 3 Graphical representations 4 Means 5 Variability 6 Shape of Frequency Distributions Part II. Bivariate analysis: 7 Analysis of bivariate distributions: Dependence 8 Analysis of bivariate distributions: Regression 9 Analysis of bivariate distributions: Correlation Part III. Inferential statistics 10 Probability 11 Random variables 12 Some probability distributions 13 Joint probability distribution 14 The law of large numbers and the Central Limit Theorem 15 Population, sample, sampling distributions 16 Point estimation

There are no specific requirements. No preparatory courses are required.

Cicchitelli, G., D'Urso, P., Minozzo, M. - Statistics. Principles and Methods. First edition (2021), Pearson.

Attendance is not mandatory, but highly recommended.

The assessment is carried out through a final written exam. The exam consists of 5 numerical questions with potential interpretation of the results. It is requested that the student reports all the steps of the calculations to obtain the results, along with the interpetation of the results, if requested. The written exam lasts 90 minutes and students are allowed to use a calculator.

Lectures and exercises. Each theoretical topic will be integrated with application examples and exercises in order to facilitate the understanding of statistical tools.The elearning tool for the course is Moodle, available at elearning.uniroma1.it. Slides and solution of the proposed exercises are available on Moodle.