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
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
Data Analysis with RStudio (2021) Kronthaler F, Zöllner S. Springer

The verification of learning takes place through a written test. Students will be asked to analyze a set of data in order to verify the mastery of a minimum set of basic knowledge and the skills acquired in the elaboration, interpretation, analysis and communication of available information.

The course consists of frontal lessons, using R software for data analysis.
Students must register for the moodle platform and computer will be required during the lessons.

Italian

Students are required to register on the e-learning platform (moodle.unive.it).

Accessibility, Disability and Inclusion
Accommodation and support services for students with disabilities and students with specific learning impairments

Ca' Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.

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