The aim of the course is to provide students with the statistical tools for a self-sufficient capacity for processing and analyzing data in the field of social research. By privileging the application aspects of statistics, the course intends to learn the conceptual bases and the functioning of the most common techniques of exploratory statistics, both univariate and bivariate.
At the end of the course the student:
- has become familiar with the basic concepts of Social Statistics
- is able to carry out exploratory data analysis and use the main statistical indicators for social sciences.
At the end of the course the student:
- has become familiar with the basic concepts of Social Statistics
- is able to carry out exploratory data analysis and use the main statistical indicators for social sciences.
scheda docente
materiale didattico
- Introduction.
- Frequency distributions: absolute frequencies, relative frequencies, percentages, cumulated frequencies. Classes of modalities for quantitative variables.
- Statistical plots: bar charts, pie charts, stem and leaf, histograms, time series plot.
- Position indexes: mean, median, mode. Position index properties.
- Variability indexes: variance, standard deviation, coefficient of variation, range. Concentration.
- Box-plot
- Concentration
- Data transformation. Linear transformation. Standardization.
- Contingency tables. Pearson chi-square index. Independence and dependence on average.
- Covariance and correlation.
- Simple linear regression model.
- Statistical indexes for social science.
oppure
Monti A.C. (2009). Statistica per le Scienze Giuridiche e Sociali, ESI, Napoli.
oppure
Diamond I., Jefferies J. (2001). Introduzione alla Statistica per le Scienze Sociali, McGraw-Hill, Milano.
Programma
Social Statistics- Introduction.
- Frequency distributions: absolute frequencies, relative frequencies, percentages, cumulated frequencies. Classes of modalities for quantitative variables.
- Statistical plots: bar charts, pie charts, stem and leaf, histograms, time series plot.
- Position indexes: mean, median, mode. Position index properties.
- Variability indexes: variance, standard deviation, coefficient of variation, range. Concentration.
- Box-plot
- Concentration
- Data transformation. Linear transformation. Standardization.
- Contingency tables. Pearson chi-square index. Independence and dependence on average.
- Covariance and correlation.
- Simple linear regression model.
- Statistical indexes for social science.
Testi Adottati
Borra S., Di Ciaccio A. (2014). Statistica: metodologia per le scienze economiche e sociali, McGraw-Hill, Milanooppure
Monti A.C. (2009). Statistica per le Scienze Giuridiche e Sociali, ESI, Napoli.
oppure
Diamond I., Jefferies J. (2001). Introduzione alla Statistica per le Scienze Sociali, McGraw-Hill, Milano.
Modalità Frequenza
Class attendance is not mandatory ma strongly advisedModalità Valutazione
The written test takes two hours and consists of 4 exercises, each with a maximum score of 5, and 10 multiple-choice questions. Correct answers are awarded one point, while incorrect or not given answers are valued 0