Course MK122 · Year I · Summer 2022-2023

STATISTICS

Compulsory course in Marketing, taught by Marcela Nicoleta Breaz.

This course page is from 2022-2023 and is archived.
See this course for the current academic year

Overview

Lecturer
Marcela Nicoleta Breaz
Seminar tutor
Ioan Lucian Popa
Type of course
Compulsory
Language of instruction
Romanian
Erasmus language
English
Domain
Marketing
Field of study
Marketing
Form of education
Full-time
Form of instruction
Class / Seminary
Credit awarded by
Grade
Teaching methods
Instruction is a combination of lectures, seminars and individual work; there are also compulsory assignments. There is 80% attendance requirement for seminars.
Entry requirements
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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.

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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

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.

Assessment

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

Recommended reading

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