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.
teacher profile teaching materials
- 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.
Programme
- 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.
Core Documentation
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.
Reference Bibliography
.Type of delivery of the course
Frontal lessons. Should the Covid19 emergency persist, the lessons will be conducted online on the formonline and Microsoft Teams platforms.Attendance
.Type of evaluation
written test