Sociology

DANIELA MARELLA

The educational target of this course is the provision of core competencies geared to the statistical analysis, both descriptive and inferential. Notably, the course will put forward the following subjects: preliminary analysis of data and their graphical representations, descriptive statistics, main techniques of analysis on two variables, regression, correlation, elements of probability and statistical inference.

At the end of the course, students will have an appropriate level of competence in theoretical knowledge of statistical methods, as well as in their practical application. Furthermore, they will be able to apply on their own basic statistical techniques in operating environments, having developed the necessary analytical skills.

Notably, the student will gain a good command of the research method and the techniques currently used, as well as the related practical and operational skills on data measurement, detection and processing, improving its capacity for operational analysis of social and economic variables.

Finally, the student is supposed to be able in applying his knowledge into a real-life work environment, to fulfil tasks in many application areas.

The aim of the course is to provide skills in the main tools for statistical analysis, both descriptive and inferential. In particular, preliminary data analysis and graphical representations, descriptive statistical indices, the main techniques of bivariate analysis, regression, correlation, elements of probability and statistical inference will be presented during the course.
At the end of the course, the student will have adequate knowledge of the main methodologies of statistical analysis, both from the theoretical point of view and from the point of view of their practical application. In addition, the student will be able to independently apply the above basic statistical techniques in operational contexts, having developed the necessary analytical skills.
In particular, the student will attain a good Knowledge of the research method and current techniques, as well as related practical and operational skills, related to the measurement and processing of data, enhancing his or her ability to operationally analyze socioeconomic quantities.
Finally, the student will be able to apply the knowledge gained in concrete work contexts and in various application areas.

No prerequisites are required.

Arguments considered are: frequency distributions, graphics, measure of central tendency (mean, mode, median), measure of dispersion (standard deviation, variance, variation coefficient), bivariate contingency tables, correlation analysis (covariance, correlation coefficient), regression analysis, probability, random variables, probability distributionss, estimators, confidence interval.

Zealure C. Holcomb ,Fundamentals of Descriptive Statistics, Taylor and Francis, 1998.
Casella , G., Berger, R.L, Statistical Inference, (2001).

Class.

Lectures.

THE EXAMINATION TEST IS UNIQUE and consists of multiple-choice questions to be taken in presence on the
SAPIENZA ELEARNING platform via PC. The exam will be conducted in a classroom equipped with a PC.
The test consists of 21 questions, with both theoretical and practical questions (exercises) designed to test knowledge and understanding and the ability to apply knowledge and understanding.

The median of the following grades reported in high school graduation by 10 high school students (60 75 70 65 65 80 65 80 100) is:
 75  65  70  100