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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Mathematic Education
  3. Master of Arts (MA) in Mathematics Education
  4. Course Structure Diagram with Credits
  5. Statistical Methods in Education
  6. Description
  • Description
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İST501 - Statistical Methods in Education II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ TUĞBA BABACAN
Mode of Delivery The mode of delivery of this course is Face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended It is suggested for students to take ARY111 Research Methods in Social Sciences.
Recommended Resources Tanner, D. (2012). Using statistics to make educational decisions. SAGE Publications, Inc., https://doi.org/10.4135/9781452240596
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction: The definition and function of statistics, variables; scales of measurement,population and sample
Week - 2 Organizing and Graphing Data
Week - 3 Describing distributions: Individual Scores, Central Tendency, and Variation
Week - 4 The Normal Distribution
Week - 5 Probabilitiy, Sampling Distirbutions, and Sampling Procedures
Week - 6 Hypothesis Testing: One-Sample Case for the Mean
Week - 7 Estimation: One-Sample Case for the Mean
Week - 8 Hypothesis Testing: One-Sample Case for other statistics
Week - 9 Hypothesis Testing: Two-Sample Case for the Mean
Week - 10 Hypothesis Testing: Two-Sample Case for other Statistics
Week - 11 Hypothesis Testing,K-saple case analysis of variance, one-way classification
Week - 12 Analysis of variance, Two- vay classification, Analysis of Covariance
Week - 13 Chi Square test for frequencies
Week - 14 Multiple Linear regression

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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