STATISTICS LABORATORY FOR ECONOMIC APPLICATIONS

The course is a free choice within Economia e Commercio
The aim of the course is to provide fundamental computational tools to deepen notions from previous courses of basic statistics and implement them in the analysis of economic phenomena. With this objective, students will be introduced to the use of the software R for real data analysis.

1. KNOWLEDGE AND UNDERSTANDING
1.1 Get familiar with the software R
1.2 Understand the main basic statistical techniques in R
1.3 Understand how to prepare a report
2. APPLYING KNOWLEDGE AND UNDERSTANDING
2.1 Import data and handle it
2.2 Analyse data both from the graphical/descriptive and inferential point of view, in particular using models
2.3 Prepare a code in R laguage that carries out the necessary statistical analyses
3. MAKING JUDGMENTS
3.1 Being able to recognize the most adequate statistical techniques for the data set at hand and implement them in R
3.2 Being able to read and interpret the statistical results
3.3 Being able to write a report to sum up the results obtained using R

Mathematics and statistics (basics)

1) Introduction to R
Student will learn how to use the software R focusing in particular on loading data and handling variables.
2) Descriptive statistics
Starting from real data, students will learn how to build graphical and tabular representations to get meaningful synthesis of the examined phenomenon.
3) Statistical inference
Starting from real data, it will be shown the implementation of some fundamental inferential tools (point estimation, confidence intervals, tests).
4) Linear regression (simple and multiple)
5) More complex regression analysis (e.g. logistic regression)

- On-line material available in the moodle Platform from the course web site
- Paganoni A.M., Ieva F. and Vitelli V. (2016). Laboratorio di statistica con R, 2 edizione, Pearson

Report on data-set provided by the lecturer (the task will be done on the day of the exam)

Conventional

Italian