Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Interdisciplinary Movement and Training Sciences
  • Department of Interdisciplinary Movement and Training Sciences Master with Thesis
  • Course Structure Diagram with Credits
  • Applied Statistics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title HAB569 - Applied Statistics
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOÇENT DOKTOR CELİL KAÇOĞLU
Mode of Delivery The mode of delivery of this course is face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None.
Recommended Reading List Büyüköztürk, Şener (2002). Veri Analizi Elkitabı. Ankara: Pegem Yayıncılık
Assessment methods and criteria 1 midterm exam, 1 homework and 1 final exam
Work Placement None.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Scientific Research Process
Week - 2 Basic Statistical Concepts
Week - 3 Data analysis, data sets
Week - 4 Frequency distributions, Mode, Median, Quartiles
Week - 5 Population and sample; Mean; Sum of squares, Variance, Standard deviation, Standard error
Week - 6 Confidence interval, Test statistic; One- and two-tailed tests
Week - 7 Type 1 and type 2 errors; Effect size; Statistical power
Week - 8 Testing normal distribution, Homogeneity of variances, Evaluation of outliers
Week - 9 Starting to SPSS; Data entry, test assumptions and testing the assumptions
Week - 10 Entry the parametric and non-parametric tests, T-tests
Week - 11 ANOVA, Repeated measures ANOVA, Mixed ANOVA
Week - 12 Wilcoxon signed-rank test, Mann-Whitney U Test
Week - 13 Kruskal-Wallis test, Friedman ANOVA
Week - 14 Correlation and regression analysis

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Problem Solving
  • Brain Storming
  • Competences
  • Productive
  • Rational
  • Eleştirel düşünebilme
  • Problem solving
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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