Insegnamento a.a. 2023-2024

• Describing data through tables, charts and synthetic measures.
• Describing association between two variables.
• Inference on the mean and the proportion: point estimation, confidence interval estimation and significance tests.
• Inference on bivariate associations: two-samples t-test and chi-square test of independence.
• Correlation analysis.
• Regression analysis: simple linear regression and multiple linear regression.

• Read reports and scientific articles that make use of basic statistical techniques.
• Learn basic and advanced statistical techniques.
• Set up and run empirical analyses, that require the use of basic and advanced statistical techniques to study relevant problems in Economics, Sociology, Political and other Social Sciences.

• Use a statistical software (STATA) for data management and to implement basic statistical techniques for the empirical part of social sciences study.

• Face-to-face lectures
• Exercises (exercises, database, software etc.)
• Group assignments

• Exercises are delivered through Bboard platform for E-Learning. They are multiple choice questions, with solutions provided as feedbacks

Two partial exams or a general exam, four tests and a final assignment.

Two partial exams 

Delivered as Blackboard test, through Lockdown Browser with Respondus Monitor. Questions can be both closed-ended questions and open-ended (essay questions). Each partial exam is graded out of 22. The arithmetic average of the partial exam marks contributes to the final grade.

The tests aim at assessing the students acquired knowledge on the content of the course, in particular with reference to the first and second Intended Learning Outcomes, as the ability of reading and providing the correct interpretation to the report of analyses run by others. Students answer the questions based on the theory and/or the inspection of STATA outputs. 

General Exam 

Delivered as Blackboard platform for E-Learning test, through Lockdown browser with Respondus Monitor. Questions can be both closed-ended questions and open-ended (essay questions). The General Exam is graded out of 22.

The test aim at assessing the students acquired knowledge on the content of the course, in particular with reference to the first and second Intended Learning Outcomes, as the ability of reading and providing the correct interpretation to the report of second-hand analyses. Students answer the questions based on the theory and/or the inspection of STATA outputs. 

Two Tests

Delivered through the Blackboard platform for E-Learning of the course, with closed-ended questions. Each test gives at most 3 points, the arithmetic average of the test marks contributes to the final grade.

Students answers at the questions based on the result of the analyses run with STATA, so to achieve the fourth Intended Learning Outcomes, as to use a statistical software (STATA) for data management and to implement basic and advanced statistical techniques for the empirical part of social sciences study.

Final Assignment

The final assignment consists in an analysis of a provided dataset based on a research question, set by the instructor. The report with a description of the results and comments, along with the script file, should be posted in Blackboard platform for E-Learning. The assignment provides up to 6 points.

The project lets achieve the third and the fourth Intended Learning Outcomes, as to set up and run empirical analyses, that require the use of basic statistical techniques to study relevant problems in Economics, Sociology and Political and other Social Sciences and to use a statistical software (STATA) for data management and to implement basic statistical techniques for the empirical part of social sciences studies.

• Lectures Notes.
• Slides
• Online exercises delivered through Bboard platform.
• Additional Readings
  • P. POLLOCK, The Essentials of Political Analysis, Sage, 2016, 5th edition (selected chapters).
  • A. AGRESTI, C.FRANKLIN, B. KLINGENBERG, Statistics: The Art and Science of Learning from Data, Pearson 2017, Global Edition (selected chapters).