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
  • Statistics Laboratory II
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST136 - Statistics Laboratory II
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR CENK İÇÖZ
Mode of Delivery Face to face.
Prerequisites None
Courses Recomended
Recommended Reading List
Assessment methods and criteria Midterm,Final, Quiz, Project
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Use and applications of sampling functions
Week - 2 Applications of the central limit theorem
Week - 3 Confidence interval applications
Week - 4 Confidence interval applications
Week - 5 thesis testing applications for the population mean - Z test
Week - 6 Hypothesis testing applications for the population mean - t test
Week - 7 Hypothesis testing applications for population variance and proportion
Week - 8 Hypothesis testing applications for two independent population means
Week - 9 Hypothesis testing applications for two dependent population means
Week - 10 Hypothesis testing applications for two population variances and proportions
Week - 11 One-way analysis of variance applications
Week - 12 Application of simple linear regression model - basic concepts
Week - 13 Simple linear regression model application - confidence intervals and hypothesis testing
Week - 14 Calculation of coefficient of determination and correlation coefficient

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Effective use of a foreign language
  • Work in teams
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

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