AIMS AND CONTENT

AIMS AND LEARNING OUTCOMES

Knowledge and understanding: Students will know the main tools used to summarize the information and for the generalization of the information observed through sample surveys. 

Ability to apply knowledge and understanding: Students will be able to reorganize data in univariate and bivariate frequency tables providing adequate graphical representations; carry out basic descriptive analyses for univariate phenomena; analyze the relationships between two or more phenomena with particular emphasis on association and linear regression analysis. They will also be able to apply some statistical inference tools to solve simple problems. 

Making judgements: Students must be able to use the acquired knowledge both on a theoretical and operational level with autonomous assessment skills, in various applicative contexts. 

Communication skills: Students will acquire the technical language typical of the discipline to communicate clearly and without ambiguity with both statisticians and non-statisticians. 

Learning skills: Students will develop adequate learning skills that allow them to continue to study the subject independently. 

Connections of the course with other courses in the programme: The topics introduced in this course will allow the students to properly understand numerical data within other disciplines and will put the bases to study and analyze quantitative methods in other quantitative courses. 

TEACHING METHODS

Traditional lessons and exercises and through AulaWeb. Since the training objectives concern both theoretical and applicative skills, there will be both lessons focused on the methodological aspects of statistics and lessons based on exercises in which numerical problems are faced and examples of simple analyzes on real data are discussed. 

SYLLABUS/CONTENT

Elements of descriptive statistics

1. Introduction to data collection
2. Distribution of a variable and its representation: Frequency distributions and diagrams
3. Location indices: means, median, mode, percentiles
4. Scale indices
5. Association measures for two variables
6. Statistical independence
7. Association between qualitative variables.
8. Correlation between quantitative variables
9. Simple linear regression

RECOMMENDED READING/BIBLIOGRAPHY

Foreign students are asked to contact the teachers to agree on the text book in English language.

TEACHERS AND EXAM BOARD

Exam Board

MARTA NAI RUSCONE (President)

DANIELE DE MARTINI (President Substitute)

LESSONS

LESSONS START

Classes will start in the first week of the second semester according to the calendar of the Department of Economics. 

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

Exam schedule