| STATISTICAL METHODS FOR SOCIAL RESEARCH (L40)
(objectives)
The aim of the course is to introduce the student to the techniques of statistical inference mainly used in the social sciences, giving greater emphasis to the understanding of concepts rather than mathematical formalization.
At the end of the course the student:
- has become familiar with the basic concepts of Statistical Inference
- is able to perform analysis of inferential data and use the main statistical models for social sciences.
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Code
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22901992 |
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Language
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ITA |
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Type of certificate
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Profit certificate
|
| Module:
(objectives)
The aim of the course is to introduce the student to the techniques of statistical inference mainly used in the social sciences, giving greater emphasis to the understanding of concepts rather than mathematical formalization.
At the end of the course the student:
- has become familiar with the basic concepts of Statistical Inference
- is able to perform analysis of inferential data and use the main statistical mode
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Code
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22901992-2 |
|
Language
|
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/01
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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)
- Linear regression and correlation. The simple linear regression model. Parameter estimation of the regression model. Correlation coefficient estimation. Test for the regression coefficient and for the correlation coefficient. R-square index.
- Analysis of variance for the regression model.
(reference books)
Agresti, A., Finlay B. (2012). Metodi Statistici di Base e Avanzati per le Scienze Sociali, Pearson, Milano. (Capp. 1-9, 12)
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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
|
Written test
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|
|
| Module:
(objectives)
The aim of the course is to introduce the student to the techniques of statistical inference mainly used in the social sciences, giving greater emphasis to the understanding of concepts rather than mathematical formalization.
At the end of the course the student:
- has become familiar with the basic concepts of Statistical Inference
- is able to perform analysis of inferential data and use the main statistical mode
|
|
Code
|
22901992-1 |
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
6
|
|
Scientific Disciplinary Sector Code
|
SECS-S/01
|
|
Contact Hours
|
36
|
|
Type of Activity
|
Core compulsory activities
|
|
Teacher
|
CAPOBIANCO ROSA
(syllabus)
- Exploratory statistic.
- Sampling theory: population and sample definition. Probabilistic samplings: random sampling with and without reimission. Stratified sampling. Cluster sampling. Non probabilistic sampling.
- Probability theory. Discrete and continuous random variables. Bernoulli and normal distributions.
- Statistical inference: the estimation. Point and interval estimation. Confidence interval for the proportion. Confidence interval for the mean. Sampling size.
- Statistical inference: the significativity test. The system of hypotesis and the test. The first and second type errors. The significativity test for the mean. The significativity test for the proportion. P-value.
- Comparison between two groups. Comparison between two proportions. Comparison between two means. Comparison for dependent data.
- Contingency tables and the chi-square test of indipendence.
- Linear regression and correlation. The simple linear regression model. Parameter estimation of the regression model. Correlation coefficient estimation. Test for the regression coefficient and for the correlation coefficient. R-square index.
- Analysis of variance.
(reference books)
Agresti, A., Finlay B. (2012). Metodi Statistici di Base e Avanzati per le Scienze Sociali, Pearson, Milano. (Capp. 1-9, 12)
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
|
Traditional
|
|
Attendance
|
not mandatory
|
|
Evaluation methods
|
Written test
|
|
|
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Università Roma Tre