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Compulsory
Compulsory
TEACHING METHODS: | TEACHING HOURS (WEEKLY) |
Lectures Laboratory Exercises
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2 1 |
COURSE TYPE: | General Background |
COURSE PREREQUISITES: | None |
TEACHING LANGUAGE: | Greek |
THE COURSE IS OFFERED TO ERASMUS STUDENTS: | No |
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 |
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 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
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USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES | Support for the learning process and communication with students via the electronic platform e-class | ||||||||||
METHODS OF INSTRUCTION |
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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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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. |