Compulsory
STATISTICS I
- GENERAL
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TEACHING METHODS: TEACHING HOURS (WEEKLY) Lectures
Laboratory Exercises
2
1
COURSE TYPE: General Background COURSE PREREQUISITES: None TEACHING LANGUAGE: Greek THE COURSE IS OFFERED TO ERASMUS STUDENTS: No - LEARNIING RESULTS
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Course Description and Learning Objectives 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
Competencies Search, analysis and synthesis of data and information, using the necessary technologies.
Decision making
Promoting free, creative, and inductive thinking
Autonomous Work
- CONTENT
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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.
- TEACHING and LEARNING METHODS - EVALUATION
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TEACHING METHOD 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
USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES Support for the learning process and communication with students via the electronic platform e-class METHODS OF INSTRUCTION Method Semester workload Lectures 26 Tutoring – classroom exercises 13 Independent exercise solution
Independent study
39
72
Total workload in hours 150 STUDENT LEARNING ASSESMENT -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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- RECOMMENDED-BIBLIOGRAPHY
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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.