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
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Fundamental Statistics I
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST117 - Fundamental Statistics I
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 4+0
ECTS 6.0
Course Instructor(s) DOÇENT DOKTOR KADİR ÖZGÜR PEKER
Mode of Delivery Face-to-face or Distance Education
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Required or Recommended Resources Peker, K.Ö., Er, F., Bal, C. “Sağlık Alanında İstatistik”, TC. Anadolu Üniversitesi Yayını, No: 3238, Açıköğretim Fakültesi Yayını No: 2103, Eskişehir, 2016.
Recommended Reading List Serper, Ö. (1996) Uygulamalı İstatistik I, İstanbul, Filiz Kitabevi. Sokal, R.R. & F.J. Rohlf (1981), Biometry, Second Ed., W.H. Freeman and Company New York.
Assessment methods and criteria There will be 2 midterms and 1 final exam and the exams will be in test type.
Work Placement This is not appropriate for the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Fundamental concepts
Week - 2 Frequency distributions
Week - 3 Graphical representation of data
Week - 4 Measures of Central Tendency
Week - 5 Measures of Variation
Week - 6 Symmetry and asymmetry in frequency distributions
Week - 7 Basic Probability Concepts and Distributions
Week - 8 Random Variables and Probability Distributions
Week - 9 Sampling
Week - 10 Point and Interval Estimations
Week - 11 Point and Interval Estimations
Week - 12 Hypothesis Testing
Week - 13 Hypothesis Testing
Week - 14 Analysis of Variance

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Effective use of Turkish
  • Use time effectively
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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