Course aims:

Deepening students' ability to build and manage databases correctly using the usual statistical analysis software
Correct use of the main data analysis techniques, in particular frequency distribution analysis, correlation and regression
Acquiring skills for sociological interpretation of statistical outputs ("reading" tables, graphs and indicators of correlation, regression, etc.)

Course Entry Requirements:

N/A

Course contents:

1. Introduction to statistics 2. The role of statistics in scientific research 3. The use of statistics in the profession of sociologist 4 Frequency distributions 5 Graphical presentation of frequency distributions 6 Central trend indicators 7. Dispersion indicators 8 Normal distribution 9 Introductory notions of inferential statistics 10 Correlation and correlation coefficient 11 Linear regression for two variables 12 The general idea of regression 13 The regression line equation 14 Quality of estimation

Teaching methods:

Lecture, examples, conversation, demonstration

Learning outcomes:

Acquisition by students of the skills of statistical analysis of variables and their relationships using, mainly, the usual statistical procedures, such as univariate analysis of quantitative characteristics, correlation, regression analysis

Learning outcomes verification and assessment criteria:

Elaboration of a paper for 2 hours that reflects 60% of the final grade and an analysis of a database that reflects 40% of the final grade

Recommended reading:

Ashmita Gupta, Social Statistics: Manifestation of Growth, Hardcover, Primus Books, -, -, -.
Alan Agresti, Statistical Methods for the Social Sciences, Global Edition, Pearson Higher Education, -, 2017, 568.
R. Mark Sirkin, Statistics for the Social Sciences, SAGE Publications Inc, -, 2005, 632.