| social statistics and laboratory data analysis
(objectives)
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.
The objective of the laboratory is the implementation of the main statistical functions of Excel.
At the conclusion of the laboratory the student is able to perform data analysis with the help of Excel.
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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 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.
The objective of the laboratory is the implementation of the main statistical functions of Excel.
At the conclusion of the laboratory the student is able to perform data analysis with the help of Excel.
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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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MUSELLA FLAMINIA
(syllabus)
Introduction to Excel. Main commands. Sum, minimum, maximum, count.se functions.
Build of pivot tables. Graphical representations: bar graph, pie chart, histogram, box plot.
Statistical functions: mean, median, fashion, quartiles.
Statistical functions: variance, deviation
Pivot tables for pairs of variables. Construction of chi-square index.
Dependence on the mean. Representation of regression spline.
Covariance, correlation. Scatter plot and representation of regression line. Estimation of the parameters of the regression line.
(reference books)
Teaching materials from the teacher.
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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
|
|
|
| Module:
(objectives)
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.
The objective of the laboratory is the implementation of the main statistical functions of Excel.
At the conclusion of the laboratory the student is able to perform data analysis with the help of Excel.
|
|
Code
|
22902550-1 |
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
6
|
|
Scientific Disciplinary Sector Code
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SECS-S/05
|
|
Contact Hours
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36
|
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Type of Activity
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Core compulsory activities
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|
Derived from
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22902432 STATISTICA SOCIALE L39 6 CFU in Social Work and Sociology L-40 R N0 CAPOBIANCO ROSA
(syllabus)
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.
(reference books)
Borra S., Di Ciaccio A. (2014). Statistica: metodologia per le scienze economiche e sociali, McGraw-Hill, Milano
or
Monti A.C. (2009). Statistica per le Scienze Giuridiche e Sociali, ESI, Napoli.
or
Diamond I., Jefferies J. (2001). Introduzione alla Statistica per le Scienze Sociali, McGraw-Hill, Milano.
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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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Evaluation methods
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Written test
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Università Roma Tre