Statistics

Course objectives

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.

Channel 1
LAURA BOCCI Lecturers' profile
Channel 2
DANIELA MARELLA Lecturers' profile

Program - Frequency - Exams

Prerequisites
No prerequisites are required.
Books
Zealure C. Holcomb ,Fundamentals of Descriptive Statistics, Taylor and Francis, 1998. Casella , G., Berger, R.L, Statistical Inference, (2001).
Frequency
Lectures.
Exam mode
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.
Lesson mode
Class.
  • Lesson code1010575
  • Academic year2025/2026
  • CourseSociology
  • CurriculumSostenibilità sociale e urbana
  • Year1st year
  • Semester2nd semester
  • SSDSECS-S/01
  • CFU9
  • Subject areaFormazione economico-statistica