BASIC STATISTICS

Course objectives

The main objective of the course is to make students able to carry out a quantitative analysis of real phenomena and to interpret the results. To this end, during the lessons the main tools and methods of descriptive and inferential (univariate and bivariate) statistics will be discussed, focusing on both the theoretical/methodological aspects and the analysis of real data. In particular, many examples based on real problems will be shown, especially concerning phenomena in the business, socioeconomic and financial fields. The student who is sufficient to the exam: 1) will have acquired the basic tools of statistics, such as descriptive statistics and basic inferential techniques; 2) will be able to apply all the methodologies described in the course to real data, choosing the most appropriate tools to be applied in the analysis of specific phenomena of interest; 3) will be able to interpret, discuss and criticize the obtained results. The development of this specific skill also derives from frequent discussions encouraged by the teacher, during the presentation of empirical applications; 4) will be able to communicate the methodologies as well as the results of empirical analysis with a proper language. This specific skill also derives from active participation to discussion in the classroom encouraged by the teacher; 5) will be able to to autonomously carry out statistical analyses and to understand more complex concepts and methodologies. In particular, these tools include tables and graphs, statistical indices, statistical relationships between phenomena, inferential procedures.

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MARIA RITA SEBASTIANI Lecturers' profile

Program - Frequency - Exams

Course program
Detailed course programme 1. Unit and collective; characters and modes 2. Statistical collection and types of statistical data 4. Simple distribution analysis: frequencies. 5. Ratios and index numbers 6. Graphical representations 7. Mean values 8. Variability, concentration and asymmetry 9. From histogram to density 10. Dependency, association and related measures 11. Regression and concordance 12. Combinatorics 13. Introduction to Probability 14. Conditional probability and Bayes' theorem 15. Random variables 16. Sample distributions and the central limit theorem 17. Probability Distributions 18. The statistical model 19. Point and interval estimates
Prerequisites
It is strongly suggested to have already passed the Matematica Generale exam
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
Frequency
All classes are in presence
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.
MARIA RITA SEBASTIANI Lecturers' profile
Channel 2
GIUSEPPINA GUAGNANO Lecturers' profile
Channel 3
ALBERTO GIOVANNI ARCAGNI Lecturers' profile
  • Lesson code1015450
  • Academic year2025/2026
  • Coursecorso|33437
  • CurriculumBanca, assicurazione e mercati finanziari
  • Year2nd year
  • Semester1st semester
  • SSDSECS-S/01
  • CFU9
  • Subject areaStatistico-matematico