Lectures

Laboratory Exercises

2

1

Students should have the following skills after completing the course:

Knowledge: Understanding and describing course concepts such as population, sample, variable, methodologies for presenting and analyzing statistical data, variable relationships, linear regression, and probabilities.

Abilities: To recommend fundamental statistical tools and data analysis strategies for making business decisions. Statistical thinking should be integrated into administrative practice. Analyze, synthesize, and develop evaluative judgments about Business Administration challenges.

Skills: To organize, present, and analyze administrative and financial statistics using proper statistical methodologies

Search, analysis and synthesis of data and information, using the necessary technologies.

Decision making

Promoting free, creative, and inductive thinking

Autonomous Work

It is a fundamental introductory course in descriptive statistics concepts, principles, and methods. Introduces students to the fundamentals of probability, equipping them with the knowledge needed to understand inductive statistics and familiarizing them with the use of statistical analysis methods in a variety of sectors, with a focus on management and economics.

The course is divided into 13 sections.

Basic Statistics concepts: Population, sample, variables, measurement scales

Data presentation: Frequency tables of qualitative, discrete and continuous variables

Graphs of quality, discrete and continuous variables

Central tendency measures

Variability measures

Asymmetry measures

Cross tabulations, Scatter Charts

Covariance and correlation

Linear regression

Probability data (Sample space, contingencies, definition and probability properties)

Probability data (Combined data-enumeration)

Probability data (Restricted Probabilities)

Probability data (Multiplication Rule, Total Probability Theorem)

The numbering corresponds to the week of the course.

i. Face-to-face lectures

ii. Face to face - Solving tutorial exercises.

Posting material for further study and solving exercises on the e-class platform

-The evaluation will be carried out in three different methods in Greek:

1. A mid-term assessment in the 7th or 8th week (20 %).

2. Individual tasks (10%) that will be graded in the following manner: Ability to solve problems and give a public presentation

3. A written final exam (70%) that covers the following topics:

- Multiple choice questions

- Comparative analysis of theoretical aspects

- Problem-solving skills

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1. Diamond Ian, Jefferies Julie. Beginning Statistics, Papazisi Publications, 2006. ISBN: 9600219524.

2. Kolyva-Mahaira F. , Bora-Senda E. . Statistics – Theory, Applications. Ziti Publications, 1998. ISBN 960-431-338-X.

3. Halikias Ioan. Statistics - Analysis methods for business decisions. ROSILI Publications, 2010, ISBN 978-960-7745-26-2

4. Kiochos P., Kiochos A. Statistics for Business and the Economy. Kiochu Publications, 2010, ISBN10: 9609867812.

5. Keller G. Statistics for Economics and Business Administration. Epikentro Publications, 2010. ISBN 978-960-458-206-8.

6. Moore D., McCabe G., Craig B. . Introduction to the Practice of Statistics (7th edition). Publisher: Freeman, 2012. ISBN-10: 1429286644.

7. Larson R., Farber B. Elementary Statistics: Picturing the World (5 edition). Publisher: Pearson, 2010. ISBN-10: 0321709977.

8. Weiss N. Introductory Statistics (9 edition). Publisher: Pearson, 2010. ISBN-10: 0321740459.

1. Mann P. Introductory Statistics. John Wiley & Sons 2010. ISBN-10: 0470505834.