STATISTICS
| Title | ΣΤΑΤΙΣΤΙΚΗ / STATISTICS |
| Code | 003 |
| Faculty | Physical Education and Sport Science |
| School | Physical Education and Sport Science (Serres) |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Common | No |
| Status | Active |
| Course ID | 260000513 |
Programme of Study: KINESIOLOGY
Registered students: 31
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 7 |
Programme of Study: PPS Kinesiology (2012-σήμερα)
Registered students: 4
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 1 | 1 | 7 |
Programme of Study: PPS Kinesiology (2011-2012)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 1 | 1 | 7 |
Programme of Study: PPS Kinesiology (2005-2007)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 1 | 1 | 7 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Class ID | 600134480
|
Type of the Course
- Background
- General Knowledge
- Scientific Area
- Skills Development
Course Category
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600134480
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
The objectives of the course are: a) Familiarization with software for statistical analysis, analyzing data, collecting and organizing data, b) developing critical thinking via presentations, discussions and assignments, and c) learning the basic statistical analysis (theory and practice) that can be used in the graduate’s student thesis and research
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Design and manage projects
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
- Introduction to statistics, Introduction in research methods
- Basic statistical measures
- Measures of central tendency, Normally distributed data, Introduction to SPSS
- Hypothesis testing, Types of statistical errors, Statistical power, Significance levels - Critical value, Normal distributions, SPSS basics
- Parametric tests/Comparing two groups: Independent samples tests
- Parametric tests/Comparing two groups: Dependent samples tests
– Parametric tests/Comparing > 2 groups: One- WAY ANOVA for independent groups
– Parametric tests/Comparing > 2 groups: One- WAY ANOVA for dependent groups
- Two-WAY ANOVAs
- Non-parametric tests/Comparing two groups: Dependent and independent groups
- Correlations,
- Regression analysis,
- Social sciences and statistical approaches
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Power point presentations in all lectures.
All presentations are available in as .pdf files (electronic distribution)
The student practice in SPSS (statistical software)
Student–teacher communication through email is possible
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Reading Assigment | 115 | ✓ | ✓ | ||
| Exams | 2 | ||||
| Other / Others | 26 | ✓ | ✓ | ||
| Total | 182 |
Student Assessment
Description
The final grade is based on the written exam (final) at the end of the semester.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
Last Update
10-02-2018
