Course Code: FB2201 • Study year: II • Academic Year: 2024-2025
Domain: Finance • Field of study: Finance and Banks
Type of course: Compulsory
Language of instruction: Romanian
Erasmus Language of instruction: English
Name of lecturer: Marcela Nicoleta Breaz
Seminar tutor: Ioan Lucian Popa
Form of education Full-time
Form of instruction: Class / Seminary
Number of teaching hours per semester: 56
Number of teaching hours per week: 4
Semester: Summer
Form of receiving a credit for a course: Grade
Number of ECTS credits allocated 5

Course aims:

The general aim of the discipline consists in forming data analysis skills in order to understand the fundamental concepts, theories, and methods in the field and the specialty area and to use them in order to explain and interpret various types of concepts and processes associated to the field.
The course transfers knowledge about the fundamental concepts in statistics and forms skills for statistical data processing and analysis, in order to acquire the capacity to analyze and interpret statistical results.
Also, estimation capacities are developed in order to make the inference of the information, from the sample to the entire population.

Course Entry Requirements:

Statistics FB221 - recommended but not mandatory

Course contents:

I. Main concepts in statistics II. Observation, systematization and graphical representation of the statistical data III. Statistical parameters IV. Correlation and regression V. Introduction to inferential statistics

Teaching methods:

Instruction is a combination of lectures, seminars and individual work; there are also compulsory assignments. There is 80% attendance requirement for seminars.

Learning outcomes:

• assimilating fundamental knowledge in the field of economic statistics, starting with aspects of descriptive statistics up to aspects about inferential statistics; • forming aptitudes needed for statistical data processing and analysis; • developing the capacity to relate to standards connected with rigor and accuracy in data analysis.

Learning outcomes verification and assessment criteria:

- Final evaluation– written exam (90% of the final grade)- Continuous assessment (10% of the final grade)

Recommended reading:

N. Breaz, Statistics- Theory And Applications, Electronic version in the university library, Alba Iulia, 2016, -.
S. Nolan, Introductory Statistics: Student Solutions Manual, Prentice Hall, -, 2006, -.
G. Smith, Essential Statistics,, Regression, and Econometrics, 1st Edition, Elsevier, Academic Press, -, 2011, -.
L. Swift, Mathematics And Statistics For Business, Management and Finance, MacMillan Publishers LTD, Hampshire, 1997, -.
***, Statistical Yearbook, -, -, 2019, -.