| social statistics and laboratory data analysis
(objectives)
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 uni varied than bivariate.
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Code
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22902550 |
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Language
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ITA |
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Type of certificate
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Profit certificate
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| Module:
(objectives)
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.
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Code
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22902550-2 |
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Language
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ITA |
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Type of certificate
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Profit certificate
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Credits
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3
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Scientific Disciplinary Sector Code
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SECS-S/05
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Contact Hours
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18
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Type of Activity
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Core compulsory activities
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Teacher
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CAPOBIANCO ROSA
(syllabus)
- 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.
(reference books)
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.
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
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Attendance
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not mandatory
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| Module: |
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Code
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22902550-1 |
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Language
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ITA |
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Type of certificate
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Profit certificate
|
|
Credits
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6
|
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Scientific Disciplinary Sector Code
|
SECS-S/05
|
|
Contact Hours
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36
|
|
Type of Activity
|
Core compulsory activities
|
|
Teacher
|
CAPOBIANCO ROSA
(syllabus)
- 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.
(reference books)
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.
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|
Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
|
|
Attendance
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not mandatory
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Evaluation methods
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Written test
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Università Roma Tre