| STATISTICAL METHODS FOR SOCIAL RESEARCH (L40)
(objectives)
This course presents the student with some of the basic concepts of descriptive statistics. Discusses the problems of summary statistical information (graphics and analytical) concerning a single character found in a population, focusing on the properties of the arithmetic mean and variability indexes.
|
|
Code
|
22901992 |
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
| Module:
(objectives)
This course presents the student with some of the basic concepts of inferential statistic. It discusses the main sampling techniques, the probability theory, the estimation theory and the significativity tests. Among the statistical models, the regression linear model and the analysis of varianza are considered.
|
|
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 inferenca: 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. (2009). Statistical Methods for the Social Science, 4th edition, Prentice Hall, New York.
|
|
Dates of beginning and end of teaching activities
|
From to |
|
Delivery mode
|
Traditional
|
|
Attendance
|
not mandatory
|
|
Evaluation methods
|
Written test
|
|
|
| Module:
(objectives)
This course presents the student with some of the basic concepts of inferential statistic. It discusses the main sampling techniques, the probability theory, the estimation theory and the significativity tests. Among the statistical models, the regression linear model and the analysis of varianza are considered.
|
|
Code
|
22901992-2 |
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
3
|
|
Scientific Disciplinary Sector Code
|
SECS-S/01
|
|
Contact Hours
|
18
|
|
Type of Activity
|
Core compulsory activities
|
|
Teacher
|
CAPOBIANCO ROSA
(syllabus)
- Explanatory 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 inferenca: 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. (2009). Statistical Methods for the Social Science, 4th edition, Prentice Hall, New York.
|
|
Dates of beginning and end of teaching activities
|
From to |
|
Attendance
|
not mandatory
|
|
Evaluation methods
|
Written test
|
|
|
|
Università Roma Tre