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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
EDUCATIONAL STATISTICS EYD654 Second Term (Spring)-Second Term (Spring) 3 + 0 7

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY1
SEMESTERSecond Term (Spring)-Second Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED7
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 DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE CONTENTS
WEEKTOPICS
1st Week Basic concepts, population, sample, variable, statistic, parameter, descriptive and inferential statistics etc.
2nd Week Creating data files, cleaning data files and basic statistical analyses.
3rd Week Measures of central tendencies and variability.
4th Week Properties of normal distribution and using the normal distribution for probabilistic interpretations.
5th Week Correlation and regression analyses.
6th Week Central limit theorem and hypothesis testing.
7th Week Hypothesis testing: Testing independent means (z-test)
8th Week Hypothesis testing: Testing dependent and independent means (t and F tests)
9th Week Assumptions of test statistics, effect sizes, controlling Type I and Type II errors.
10th Week Hypothesis testing: Comparing more than two independent means. One way analysis of variance.
11th Week Hypothesis testing: Comparing more than two independent means. Repeated analysis of variance.
12th Week Hypothesis testing: Comparing more than two independent means. Two way analysis of variance.
13th Week Statistical control: Covariance analysis for one way design.
14th Week The differences between parametric and non-parametric tests.
15th Week
RECOMENDED OR REQUIRED READINGHinkle, 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 METHODSLecture,Questions/Answers,Practice,Problem Solving,Discussion
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Assignment130
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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