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 Mathematics
  • 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 EİST221 - Statistics
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 4.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ALPER BEKKİ
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 There is no recommended optional programme component for this course.
Recommended Reading List
Assessment methods and criteria 2 midterms 1 final
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Table and graphical representation of data
Week - 2 Measures of central tendency
Week - 3 Measures of variability
Week - 4 Point estimation and sampling distributions
Week - 5 Confidence interval based on a single sample: Confidence interval for population mean and proportion
Week - 6 Hypothesis Tests: Error probabilities, Power of the test, p-value
Week - 7 Tests for a population mean (z-test, t-test)
Week - 8 Hypothesis testing of a population proportion (large sample)
Week - 9 Statistical inference based on independent samples of the difference between two population means: Confidence interval
Week - 10 Statistical inference based on independent samples of the difference between two population means: Hypothesis testing
Week - 11 Statistical inference based on conjugate samples of the difference between two population means: Confidence interval and hypothesis testing
Week - 12 Statistical inference based on independent and large samples of the difference between two population ratios: Confidence interval and hypothesis testing
Week - 13 Simple linear regression analysis: least squares method, confidence intervals for regression coefficients, and hypothesis testing
Week - 14 Coefficient of determination and coefficient of correlation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Competences
  • Questoning
  • Follow ethical and moral rules
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
2.Midterm Exam 1 30
Final Exam 1 40
Toplam (%) 100
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