Statistics I

General

• Code: 103
• Semester: 1st
• Study Level: Undergraduate
• Course type: General Background
• Teaching and exams language: Greek
• Teaching Methods (Hours/Week): Tutorials (Theory) & practice works (3)
• ECTS Units: 5
• Course homepage: https://elearning.cm.ihu.gr/course/view.php?id=7
• Instructors: Kourtesi Sofia

Course Contents

1. Presentation and description of data.
2. Descriptive measures of position.
3. Descriptive measures of distribution.
4. Exploratory data analysis.
5. Introductory concepts of probability theory.
6. Probability theory.
7. Random variables and probability distributions.
8. Discrete distributions.
9. Continuing Distributions.
10. Central limit theorem.
11. Sampling.
12. Sampling distributions.
13. Introduction to bivariate statistical analysis.

Educational Goals

The general aim of the course is the understanding and knowledge of the operations of the science of statistics. It aims in understanding of basic statistical concepts and methods of descriptive statistics, probability theory, probability distributions and sampling.

Upon successful completion of the course, the students will be able to:

• Understand how to describe and present data.
• Understand the basic principles of statistics.
• Use the statistical techniques necessary to draw conclusions when analyzing data.
• Form judgments in relevant business and scientific matters.
• Know the techniques that allow economic phenomena researchers to quantify and estimate with statistical methods the economic relationships that govern the operation of economic units and markets.
• Develop statistical thinking and the ability to analyze quantitative and qualitative data.

General Skills

• Working independently.
• Team work.
• Decision-making.
• Production of free, creative and inductive thinking.

Teaching Methods

• In the classroom, face to face.

Use of ICT means

• Basic software (windows, word, power point, the web, etc.).
• Support of learning process through the electronic platform / e-class.

Teaching Organization

Students Evaluation

Written final exams that may include:

• Judgemental questions
• Short answer questions
• Comparative evaluation of theory elements
• True/False and multiple choice Questions
• Application exercises

In each question, corresponding evaluation points are specified.

Recommended Bibliography

1. Ταμπάκης Νικόλαος, Χαψά Ξανθίππη, Εφαρμοσμένη στατιστική-ανάλυση δεδομένων με EXCEL και SPSS, Εκδ. Ζυγός, Μάρκου Ι. Γ. και ΣΙΑ ΕΕ, 2021.
2. Andy Field, Jeremy Miles, Zoe Field, Discovering Statistics Using R, Εκδ. Προπομπός, Αθήνα, 2019.
3. Χαλικιάς Ι., 2017 , Στατιστική: Μέθοδοι Ανάλυσης για Επιχειρηματικές Αποφάσεις, Εκδόσεις Rosili, Αθήνα.
4. Σαρηγιαννίδης Ν., Κοντέος Γ., Εισαγωγή στη Στατιστική, Εκδ. Αλέξανδρος, Θεσσαλονίκη, 2016.
5. Berenson M.L., Levine D.M., Szabat K.A., 2018, Βασικές αρχές Στατιστικής για Επιχειρήσεις, Broken Hill, Λευκωσία, Κύπρος.

Related Research Journals

1. Journal of Business & Economic Statistics .
2. Econometrics and Statistics.
3. Journal of Statistics Education.