1. GENERAL
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SCHOOL |
SCHOOL OF ECONOMIC SCIENCES |
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ACADEMIC UNIT |
DEPARMENT OF ACCOUNTING AND FINANCE |
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LEVEL OF STUDIES |
Undergraduate |
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COURSE CODE |
BA103 |
SEMESTER |
1 | ||
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COURSE TITLE |
INTRODUCTION TO STATISTICS | ||||
| INDEPENDENT TEACHING ACTIVITIES |
WEEKLYTEACHING HOURS |
CREDITS | |||
| Lectures | 3 | ||||
| Hours Lab | 0 | ||||
| Hours Exercises | 0 | ||||
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Total |
3 | 6 | |||
| COURSE TYPE | Scientific Field, Compulsory | ||||
| PREREQUISITE COURSES | No | ||||
| LANGUAGE OF INSTRUCTION and EXAMINATIONS | Greek | ||||
| IS THE COURSE OFFERED TO ERASMUS STUDENTS | Yes (upon request) | ||||
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COURSE WEBSITE (URL) |
https://
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2. LEARNING OUTCOMES
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Learning outcomes |
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After successful completion of the course, students are expected to be able to: 1. Have knowledge of the basic concepts of probability theory and statistics. 2. Have knowledge of the basic statistical measures of central tendency and dispersion. 3. Has knowledge of the characteristics of the main theoretical probability distributions. 4. Understand the methodology of collecting, analyzing and presenting statistical data. 5. Apply methods of inference statistics (confidence intervals, statistical testing). |
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General Competences |
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• Decision-making • Autonomous work • Group work |
3. SYLLABUS
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The course aims at introducing the student to the basic principles of statistics and probability, present the methodology of collecting, organizing and presenting statistical data, describe the main probability distributions, solve simple problems of combinations, probability, confidence intervals, statistical tests, present regression analysis and analysis of variance and in general become acquainted with the statistical methods as a tool for business decision making. The course content includes: • Introduction to statistics, basic concepts • Collection – presentation of statistical data (tables and diagrams) • Statistical measures of central tendency • Statistical measures of dispersion • Permutations and combinations • Basic concepts of probability theory • Probability distributions • Confidence intervals • Statistical testing • Estimation • Regression • Introduction to the analysis of variance |
4. TEACHING and LEARNING METHODS - EVALUATION
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DELIVERY |
Face to face | ||||||||||||||||||||||||
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USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY |
Use of the electronic platform e-class During office hours Presentations are made using Power Point. There is also the possibility of electronic communication via e-mail to the teacher. Providing electronic teaching presentations to Students, via e-class. |
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| TEACHING METHODS |
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STUDENT PERFORMANCE EVALUATION |
• Mid-term Exam 30% • Final Exam(multiple choice, short-answer questions, problem solving) 70% |
5. SUGGESTED BIBLIOGRAPHY
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Recommended Book Resources: • ΣαριαννίδηςΝίκοςκαι Γιώργος Κοντέος, 2016. Στατιστική, εκδόσεις Αλέξανδρος ΙΚΕ, Κοζάνη. ISBN: 9786188277816 • Fourastie, J., Laslier, J. - F., 2001. Πιθανότητες και Στατιστική. Εκδόσεις Πατάκη, Αθήνα. ISBN: 978-960-16-0066-6 • Σιάρδος Γ., 2005. Μέθοδοι Στατιστικής Πολυμεταβλητής Ανάλυσης. Εκδόσεις Σταμούλη Α.Ε.ISBN: 978-960-351-622-8 • D. S. Yates, D. S. Starnes, D. S. Moore (2004) Statistics through Applications. W. H. Freeman. ISBN-10: 0716747723, ISBN-13: 978-0716747727 • D. S. Moore (2007). The Basic Practice of Statistics. W. H. Freeman. ISBN-10: 0716770628, ISBN-13: 978-0716770626 |
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-Related academic journals: |