BASIC STATISTICS

Course objectives

The course is aimed mainly at two objectives: on the one hand, to provide the student with the statistical tools considered indispensable in the cultural preparation of a graduate student in economics and useful for the purpose of carrying out the dissertation. On the other hand, the course aims to foster in the student the formation of an ability to model reality, necessary for the quantitative analysis of economic and social phenomena and the consequent preparation of suitable tools for decision-making under conditions of uncertainty. The presentation of topics is supported by real situations and phenomena, enabling the applicability of the concepts and methodologies introduced to be highlighted The course aims to. ● provide the ability to read, synthesize and interpret data, case by case, according to the most appropriate methodologies ● graphically represent the most appropriate information syntheses ● acquire the ability to provide the most appropriate theoretical model for interpreting the observed data. Translated with DeepL.com (free version)

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BRUNERO LISEO Lecturers' profile

Program - Frequency - Exams

Course program
• Unit and frequency distribution. Cumulative frequencies. Class distributions. Graphical representations. • The empirical cumulative distribution function and its representation. • Location and Scale indicators for unit and frequency distributions. • Variability and concentration indices. • Multivariate distributions; contingency tables; conditional and marginal distributions: covariance and correlation. • Decomposition of the deviance. Dependence on average. Correlation ratio. • The concept of regression. The method of least squares. Determination of the coefficients of the regression line. Goodness of fit of the linear model and linear index of determination. • Probability: Events and sets. Definitions of probability. Independence and conditional probabilities; Bayes' theorem. • Most popular random variables: Binomial, Uniform, Normal. • Statistical inference: interval estimation and hypothesis testing
Books
● A. Forcina e B. Liseo (2021) Appunti per il corso di Statistica (available at libro-stat-ott-23.pdf ) ● Other text: Cicchitelli, D'Urso, Minozzo. Statistica: principi e metodi. 3a edizione, Pearson editore. ● Handout from the Instructor
Exam mode
The exam evaluation will be carried out by means of a written test relating to the subjects being studied. It is recommended to watch the video lessons and participate in the interactive activities (e-activity) proposed in the course. Participation in the interactive activities will be assessed in a review session. The exam may be taken without any prior notice.
Lesson mode
All teaching activities are carried out online through the platform and e-learning methodologies of Unitelma-Sapienza, in compliance with the regulations on telematic universities. The e-learning teaching provides lessons of average duration of 30 minutes video-recorded, meta-dated and indexed, with related educational materials (slide in pdf) downloadable on the net. Teaching strategies include lectures mainly theoretical and practical lessons that take place in asynchronous and synchronous mode. In addition to the video-lectures, there is a part dedicated to interaction between teacher and students through interactive teaching by participating in discussion groups, webinars with teachers and tutors, question/answer forums. An experienced and qualified tutor will help and support the student’s learning process.
  • Lesson code1015450
  • Academic year2025/2026
  • Coursecorso|33412
  • CurriculumSingle curriculum
  • Year1st year
  • Semester2nd semester
  • SSDSECS-S/01
  • CFU9
  • Subject areaDiscipline quantitative