COURSE UNIT TITLE  COURSE UNIT CODE  SEMESTER  THEORY + PRACTICE (Hour)  ECTS 
EDUCATIONAL STATISTICS 
EYD654 
Second Term (Spring)Second Term (Spring) 
3 + 0 
7 
TYPE OF COURSE UNIT  Compulsory Course 
LEVEL OF COURSE UNIT  Master's Degree With Thesis 
YEAR OF STUDY  1 
SEMESTER  Second Term (Spring)Second Term (Spring) 
NUMBER OF ECTS CREDITS ALLOCATED  7 
NAME OF LECTURER(S)  Professor Halil Giray Berberoğlu

LEARNING OUTCOMES OF THE COURSE UNIT 
At the end of this course, the students; 1) interpret statistical concepts 2) make inferences related to different statistical distributions 3) conduct hypothesis testing and interpret the results 4) create data files in SPSS, use data cleaning procedures, and analyze data, 5) choose appropriate statistical analysis for a given research question 6) interpret Type I and Type ıı error rates and interpret effect sizes 7) interpret the central limit theorem 8) distinguish among statistical distributions, 9) test the assumptions of test statistics.

MODE OF DELIVERY  Face to face 
PREREQUISITES OF THE COURSE  No 
RECOMMENDED OPTIONAL PROGRAMME COMPONENT  
COURSE CONTENTS  WEEK  TOPICS 

1^{st} Week  Basic concepts, population, sample, variable, statistic, parameter, descriptive and inferential statistics etc.  2^{nd} Week  Creating data files, cleaning data files and basic statistical analyses.  3^{rd} Week  Measures of central tendencies and variability.  4^{th} Week  Properties of normal distribution and using the normal distribution for probabilistic interpretations.  5^{th} Week  Correlation and regression analyses.  6^{th} Week  Central limit theorem and hypothesis testing.  7^{th} Week  Hypothesis testing: Testing independent means (ztest)  8^{th} Week  Hypothesis testing: Testing dependent and independent means (t and F tests)  9^{th} Week  Assumptions of test statistics, effect sizes, controlling Type I and Type II errors.  10^{th} Week  Hypothesis testing: Comparing more than two independent means. One way analysis of variance.  11^{th} Week  Hypothesis testing: Comparing more than two independent means. Repeated analysis of variance.  12^{th} Week  Hypothesis testing: Comparing more than two independent means. Two way analysis of variance.  13^{th} Week  Statistical control: Covariance analysis for one way design.  14^{th} Week  The differences between parametric and nonparametric tests.  15^{th} Week  

RECOMENDED OR REQUIRED READING  Hinkle, D.E.,Wiersma, W., ve Jurs, S.G. (1988) Applied Statistics for the Behavioral Sciences. Boston: Houghton Mifflin Company Arıcı,Hüsnü. (1984) İstatistik Yöntemler ve Uygulamalar. Ankara: Meteksan Matbaacılık

PLANNED LEARNING ACTIVITIES AND TEACHING METHODS  Lecture,Questions/Answers,Practice,Problem Solving,Discussion 
ASSESSMENT METHODS AND CRITERIA   Quantity  Percentage(%) 

Midterm  1  30  Assignment  1  30  Total(%)   60  Contribution of Interm Studies to Overall Grade(%)   60  Contribution of Final Examination to Overall Grade(%)   40  Total(%)   100 

LANGUAGE OF INSTRUCTION  Turkish 
WORK PLACEMENT(S)  No 
 
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO) 
 LO1  LO2  LO3  LO4  LO5  LO6  LO7  LO8  LO9  K1           K2           K3           K4           K5           K6           K7           K8           K9           K10           K11           K12           K13           K14           K15           K16           K17           K18           K19           