|Type of course:
|Language of instruction:
|Erasmus Language of instruction:
|Name of lecturer:
||Marcela Nicoleta Breaz
||Ioan Lucian Popa
|Form of education
|Form of instruction:
||Class / Seminary
|Number of teaching hours per semester:
|Number of teaching hours per week:
|Form of receiving a credit for a course:
|Number of ECTS credits allocated
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:
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
Instruction is a combination of lectures, seminars and individual work; there are also compulsory assignments. There is 80% attendance requirement for seminars.
• 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)
Statistics- Theory And Applications, Electronic version in the university library
, Alba Iulia
Introductory Statistics: Student Solutions Manual, Prentice Hall
Essential Statistics,, Regression, and Econometrics, 1st Edition, Elsevier, Academic Press
Mathematics And Statistics For Business, Management and Finance, MacMillan Publishers LTD
Statistical Yearbook, -