Italian 

Metodi statistici di base e avanzati per le scienze sociali. Alan Agresti, Brbara Finlay. Pearson, 2020. 

The course, in line with the objectives of the CdS, aims to provide the methodological foundations necessary to use statistical tools that allow the exploration of economic, social, or other phenomena. The course intends to provide the Data Analyst with the knowledge and skills to conduct exploratory and descriptive data analyses in order to support the decision-making process.

EXPECTED LEARNING OUTCOMES

KNOWLEDGE AND UNDERSTANDING
The course aims to provide a solid understanding of basic statistical concepts, such as frequency distribution, the shape of a distribution, graphical representations, measures of central tendency, measures of dispersion, and measures of association.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course, students will be able to:
calculate measures of central tendency, dispersion, and association;
interpret measures of central tendency, dispersion, and association;
describe the characteristics of a data distribution;
use different types of charts for data representation;
apply the concepts and techniques of descriptive statistics to conduct exploratory analyses on real phenomena.

COMMUNICATION SKILLS
At the end of the course, students will have acquired appropriate statistical language that will allow them to transfer information and assessments related to the analyzed data to others.

INDEPENDENT JUDGEMENT
The course aims to develop independent judgment that allows students to:
select the most appropriate summary tool based on the type of data available and the research objectives;
interpret the results obtained, recognizing any limits and strengths.

LEARNING SKILLS
Through practical exercises, the course aims to verify the understanding of the topics covered and to stimulate the learning capacity in relation to more advanced statistical teachings. 

None 

Lectures, practical exercises. 

The assessment of learning is conducted through a written exam lasting 2 hours, consisting of exercises and theoretical questions (open-ended questions) on topics covering the entire course program. These questions are designed to verify the knowledge of the reference material, as well as the comprehension and communication skills.
Students must demonstrate their ability to formalize a problem in quantitative terms, to derive the appropriate indices and statistics for its solution, and to provide an interpretation of the obtained results.
The evaluation will also consider the appropriateness of the language used and the ability to utilize the various proposed tools.
Assessment: Grade out of thirty. A score below 17 is insufficient, between 18 and 23 is sufficient, between 24 and 27 is fair, and above 28 is excellent. There is no oral examination. 

 

E-mail: antonio.gattone@unich.it
Office Hours for Students: After classes and/or by appointment to be arranged via e-mail or TEAMS