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| Course Description |
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| Course Name |
: |
Statistical Application İn Sport Sciences |
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| Course Code |
: |
AY 367 |
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| Course Type |
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Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
3 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
3 |
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| Name of Lecturer(s) |
: |
Instructor LEVENT SANGÜN
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| Learning Outcomes of the Course |
: |
Understand basic statistical concepts
Edits data
Explain the normal distribution and hypothesis testing
Uses parametric and non-parametric tests
Uses statistical software package
Understand basic statistical concepts
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
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The aim of this course, students will have been gained the ability to comprehend basic statistical methods and to select the appropriate statistical method is a real problem encountered and to analyze them and to interpret the results of analyzes |
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| Course Contents |
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Introduction To Statistics, Data Classification And Graph Screening, Measures Of Location, Measures Of Dispersion, Probability, Normal Distribitution, Hypothesis Testing And Error Types, Confidence Intervals, Khi-Square Analysis, Regression Analysis, Correlation Analysis, Non-Parametric Statistical Methods, Sampling And Sampling Methods |
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| Language of Instruction |
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Turkish |
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| Work Place |
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Classrooms and computer labs in BESYO |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Introduction to Statistics |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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2 |
Data Types, Data Classification And Graph Screening |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
3 |
Measures Of Location (Mean, Weighted Mean, Median, Mod And Geometric Mean |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
4 |
Measures Of Dispersion (Range, Variance, Standart Deviatıon, Standard Error Of Mean, Coefficient Of Variation) |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
5 |
Probability |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
6 |
Normal Distribitution |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
7 |
Hypothesis Testing And Error Types |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
8 |
Midterm Exam |
Exam preparation |
Text/Practice exam |
|
9 |
Confidence Intervals |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
10 |
Khi-Square Analysis |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
|
11 |
Regression Analysis |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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12 |
Correlation Analysis |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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13 |
Non-Parametric Statistical Methods (Mann Whitney U Test, Kruskal Wallis H Test) |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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14 |
Sampling And Sampling Methods |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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15 |
Sampling And Sampling Methods |
Reading Releated Sources |
oral presentation and the sample solution on the computer |
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16/17 |
final exam |
Exam preparation |
Text/Practice exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Sangün, L, 2011. İstatistik, Ç.Ü.Adana MYO Yayınları.
Büyüköztürk, Şener. Veri Analizi El Kitabı. Ankara: Pegem A Yayıncılık, 2002
Özdamar, K., 2004. Paket Programlar ile İstatistik Veri analizi, Kaan Kitabevi.
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
100 |
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Homeworks/Projects/Others |
0 |
0 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
In additon to occupational skills, develops himself/herself on scientific, cultural and artistic areas according to his/her own abilities. |
0 |
|
2 |
Uses sports and training involvement strategies actively. |
0 |
|
3 |
Explains the basic concepts and basic theories related to sports. |
0 |
|
4 |
Explains the regulations and educational program about sports education. |
0 |
|
5 |
Has an active role in individual and group activities and successfully finishes the tasks in group work in sports areas. |
0 |
|
6 |
Has the ability to search, discover, create alternative solutions, reach information, think critically and engage in productive discussions for personal and professional growth.
|
0 |
|
7 |
Has the skills of active listening, empathy, self-expression, and use of communication technology for effective interpersonal communication. |
0 |
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8 |
Acts colloboratively and cooperatively with her/his colleagues in work place . |
0 |
|
9 |
Does training practices appropriate for different educational levels |
0 |
|
10 |
Designs and organizes training environments for athletes and team. |
0 |
|
11 |
Becomes sensitive and tolerant of athletes about multicultural and a diversity of issues. |
0 |
|
12 |
Explains career development and career choice process. |
5 |
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13 |
Explains scientific research method and techniques in sports sciences. |
0 |
|
14 |
Prepares annual and daily training plans by considering ahtletes´ developmental characteristics, individual differences,their interests and needs. |
2 |
|
15 |
Plans and conducts a scientific project , and does necessary analysis by using scientific research methodology related to the sport branch. |
5 |
|
16 |
Explains training practices appropriate for clients with different development and characteristics |
0 |
|
17 |
Uses various training methods to support athletes´ development and provide long lasting educational effects. |
0 |
|
18 |
Uses educational technology effectively to reach training and performance goals. |
0 |
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19 |
Chooses, prepares and uses materials that are appropriate for athletes´ developmental level and individual characteristics. |
2 |
|
20 |
Acts appropriately within professional ethical standarts. |
0 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
2 |
28 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
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Homeworks, Projects, Others |
0 |
0 |
0 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
8 |
8 |
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Final Exam |
1 |
12 |
12 |
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Total Workload: | 76 |
| Total Workload / 25 (h): | 3.04 |
| ECTS Credit: | 3 |
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