The course will provide students with the statistical tools for a self-sufficient capability to data processing and analysis in the field of social research. Focusing on the application of statistics, the course discusses the conceptual bases and operation of the most common techniques of exploratory statistics, both at univaried and bivariate level. The second part of the course will focus on Excel main statistical functions.
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
- 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.
The course will focus on the main statistical function on Excel. In particular:
Pivot tables . Plots: bar charts, pie charts, histograms, plots for two variables. Position indexes: mean, mediann and mode. Variability indexes: variance and deviazione standard. Covariance, correlation, regression.
or, in alternative,
Diamond I., Jefferies J. (2001). Introduzione alla Statistica per le Scienze Sociali, McGraw-Hill, Milano.
For the course of Laboratory of Data Analysis students can refer to the Prof.ssa Marella's material available on her web site.
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
- 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.
The course will focus on the main statistical function on Excel. In particular:
Pivot tables . Plots: bar charts, pie charts, histograms, plots for two variables. Position indexes: mean, mediann and mode. Variability indexes: variance and deviazione standard. Covariance, correlation, regression.
Core Documentation
Monti A.C. (2009). Statistica per le Scienze Giuridiche e Sociali, ESI, Napoli.or, in alternative,
Diamond I., Jefferies J. (2001). Introduzione alla Statistica per le Scienze Sociali, McGraw-Hill, Milano.
For the course of Laboratory of Data Analysis students can refer to the Prof.ssa Marella's material available on her web site.