Compulsory
POLITICAL SCIENCE
- 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 the distribution functions for discrete and continuous random variables, sampling distribution, hypothesis testing, parametric and nonparametric tests.
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 Searching, analysing and synthesising data and information using the necessary technologies
- Autonomous work
- Working in an interdisciplinary environment
- Exercising critical and self-critical thinking
- Promotion of free, creative and deductive thinking
- CONTENT
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It is a fundamental introductory course in inferential statistics concepts, principles, and methods. Introduces students to random variables and probability distributions, 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 business management and economics.
The course is divided into 13 sections.
Discrete and continuous random variables, distribution functions
Expected value and variance of random variables
Discrete probability distribution: Binomial
Discrete probability distribution: Poisson
Continuous probability distribution: Normal
Random sampling
Sampling distribution. The central limit theorem
Confidence interval for mean and proportion
Hypothesis testing
Introduction to one-way analysis of variance
Introduction to nonparametric tests
Contingency tables
Simple linear regression
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
- RECOMMENDED-BIBLIOGRAPHY
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1. Downing D., Clark J. Business Statistics, 4th ed./2010, KLEIDARITHMOS EPE Publishing, ISBN: 978-960-461-390-8.
2. Gnardellis X. Applied statistics, 2nd Ed./2019, Ed. A. Papazisis, ISBN: 978-960-02-3466-4.
3. Bakura A. Introduction to Statistics, 2013, Ed. DISIGMA, ISBN: 978-960-9495-29-5
4. Keller, G. Statistics for Finance and Business Administration, 2010 Ed. Epicenter, ISBN: 978-960-45-8206-8.