Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
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
  • Faculty of Sport Sciences
  • Department of Sports Management
  • Course Structure Diagram with Credits
  • Statistics
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST317 - Statistics
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 2.5
Course Instructor(s) ÖĞRETİM GÖREVLİSİ DOKTOR ASLI KAYA KARAKÜTÜK
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
Recommended Reading List
Assessment methods and criteria 1 midterm, 1 homework, 1 final final: P all exams are classical exams. average of all exams must be 50 points in order to be successful 
Work Placement Not Applicaple
Sustainability Development Goals Quality Education

Content

Weeks Topics
Week - 1 Introduction to the course
Week - 2 Basic statistical concepts (Parameter, constant, measurement, universe, population) Concept of Scale and Types of Data
Week - 3 Organizing data (Grouping and plotting of data)
Week - 4 Excel Application (Data organization, Frequency Table, Graph Drawing)
Week - 5 Measures of central aggregation (Arithmetic mean, median peak value) Comparison of mean, median and peak value-percentiles and quartiles
Week - 6 Measures of central variation (Range, variance, standard deviation)
Week - 7 Excel Application (Measures of central aggregation and measures of central variation)
Week - 8 Standardization (z ve t score
Week - 9 Basic rules of Event, Probability space and Probability
Week - 10 Random Variable (Continuous and Discrete)
Week - 11 Discrete Probability Distributions (Bernoulli, Binomial, Poisson and Geometric)
Week - 12 Continuous Probability Distribution (Normal and Standard Normal Distribution)
Week - 13 Population-Sample Concept
Week - 14 Problem Solving

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Field Trip
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Role Playing/Dramatization
  • Competences
  • Productive
  • True to core values
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of Turkish
  • Environmental awareness
  • Effective use of a foreign language
  • Adapt to different situations and social roles

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations