| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistical Data Analysis | RYL103 | Compulsory | Master's degree | 1 | Fall | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Hakan AKDENİZ
Assistant Prof. Dr. Muhammet Eyüp UZUNER
Learning Outcomes of the Course Unit
1) Recognizes the uses of statistics
2) Knows the place and use of statistics in sports and other disciplines
3) Recognizes the tests that may occur in sports environments.
4) İstatistik tablo yorumları ve genel değerlendirmeleri çözümler.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ||
| Learning Outcomes | ||||||||||||||||
| 1 | High | Low | High | High | High | High | Middle | High | High | High | High | Middle | Low | Low | Low | |
| 2 | High | Low | High | High | High | High | Middle | High | High | High | High | Middle | Low | Low | Low | |
| 3 | High | Low | High | High | High | High | Middle | High | High | High | High | Middle | Low | Low | Low | |
| 4 | High | Low | High | High | High | High | Middle | High | High | High | High | Middle | Low | Low | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Principles of Scientific Research and Publication Ethics
Course Contents
Definition and scope of statistics, measures of central tendency, measures of central tendency, measures of central dispersion, normal distribution, z and t score calculations. Basic concepts. Obtaining and organizing data. Central tendency, measures of dispersion. Correlation. Regression
Weekly Schedule
1) Basic concepts of statistics and the purpose of statistics2) Universe, sampling, variables and types, scale types
3) Frequency distributions, frequency tables and comments
4) Data grouping, frequency distributions in grouped data, frequency tables and comments
5) Data grouping, frequency distributions in grouped data, frequency tables and comments
6) Data grouping, frequency distributions in grouped data, frequency tables and comments
7) Probability and basic concepts: Normal distribution and standard scores. Calculation of Z and T scores
8) Midterm Exam
9) Correlation : Pearson Product Moment Correlation Coefficient; Spearman-Brown Rank Difference Correlation Coefficient
10) Unpaired Group T-Test and Non-Parametric Mann-Whitney U Test
11) One-dimensional analysis of variance (ANOVA) and Non-parametric Kruskal-Wallis Tests
12) Chi-square test of independence
13) Techniques used in experimental research: Paired Group T Test
14) Techniques used in experimental research: Wilcoxon-Z Test
15) İstatistik tablo yorumları ve genel değerlendirme
Recommended or Required Reading
1- Aiken, L. R. (2000). Psychological testing and Assessment. Boston
2- Allyn & Bacon. Büyüköztürk, Ş. (2001). Deneysel Desenler. Ankara
3- PegemA Yayıncılık. Derelioğlu, Y. (2009). Basılmamış İstatistik Ders Notları. İstanbul.
4- Kalaycı, Ş. (2006). SPSS Uygulamalı Çok Değişkenli İstatistik
5- Karasar, N. (2003). Bilimsel Araştırma Yöntemi. Ankara: Nobel Yayın Dağıtım. Köklü, N.; Büyüköztürk, Ş.; Bökeoğlu, Ö.Ç. (2006). Sosyal Bilimler İçin İstatistik. Ankara: PegemA Yayıncılık.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Drill and Practice
4) Group Study
5) Self Study
Assessment Methods and Criteria
Contribution of Quiz to Course Grade |
30% |
|---|---|
Contribution of Final Examination to Course Grade |
70% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required