# Statistics

 Title ΣΤΑΤΙΣΤΙΚΗ / Statistics Code ΓΕ4000 Faculty Physical Education and Sport Science School Physical Education and Sport Science (Serres) Cycle / Level 1st / Undergraduate Teaching Period Winter/Spring Common No Status Active Course ID 260000151

### Programme of Study: UPS of School of Physical Education and Sports Science in Serres (2014)

Registered students: 126
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory CourseWinter/Spring-3

 Academic Year 2019 – 2020 Class Period Winter Faculty Instructors Andreas Zafeiridis 2hrs Weekly Hours 2 Class ID 600154131
Type of the Course
• Background
• General Knowledge
Course Category
General Foundation
Mode of Delivery
• Face to face
Language of Instruction
• Greek (Instruction, Examination)
Learning Outcomes
Introduction to basic concepts and the reasoning of statistics. Students will learn about organizing and displaying graphical and numerical summaries of data, and drawing conclusions. Topics include a) descriptive statistics, methods for describing sets of data, normal distributions, b) correlation and regression, and c) familiarity with concept of statistical inference, hypothesis testing of common parameters and basic inferential statistical tests.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Work in teams
• Work in an international context
• Work in an interdisciplinary team
• Generate new research ideas
• Design and manage projects
• Be critical and self-critical
• Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to experimental research, types of data and scales of measurement, frequency distributions for quantitative data, graphs for frequency distributions, typical curves for frequency distributions and normality, averages for quantitative and qualitative data, measures of variability, normal distributions, types of variables, partial correlation, simple linear regression, population and sample, hypothesis testing (null and alternative, level of significance), parametric and non-parametric methods (assumptions and common tests), t-test for two samples.
Keywords
statistics
Educational Material Types
• Slide presentations
• Book
Use of Information and Communication Technologies
Use of ICT
• Use of ICT in Course Teaching
• Use of ICT in Laboratory Teaching
Course Organization
Lectures200.8
Laboratory Work60.2
Exams20.1
Total783
Student Assessment
Description
The final grade is based on the grades achieved in the final examination. The examination consists partly of multiple choice questions and partly on short-answer questions. Detailed instructions are given to the students at the beginning of the semester in the course outline and in the Depertmrnt's Assignment Manual. Students must achieve at least 50 per cent on the final examination in order to pass the course. During the semester students are able to self-evaluate their understanding on the course material by taking short quizzes.
Student Assessment methods
• Written Exam with Multiple Choice Questions (Formative, Summative)
• Written Exam with Short Answer Questions (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
ΣΤΑΤΙΣΤΙΚΕΣ ΕΦΑΡΜΟΓΕΣ ΣΤΗ ΦΥΣΙΚΗ ΑΓΩΓΗ ΚΑΙ ΣΤΟΝ ΑΘΛΗΤΙΣΜΟ, ΓΕΩΡΓΙΟΣ ΒΑΓΕΝΑΣ, 6η Έκδοση-2018, ΑΘΗΝΑ. Η ΕΡΕΥΝΑ ΣΤΙΣ ΑΘΛΗΤΙΚΕΣ ΕΠΙΣΤΗΜΕΣ, ΧΡΗΣΤΟΣ ΚΑΜΠΙΤΣΗΣ, ΑΘ. ΤΣΙΑΡΤΣΙΑΝΗΣ Ο.Ε., 2004, ΘΕΣ/ΝΙΚΗ.
Last Update
05-05-2020