1. SECOND CYCLE - MASTER'S DEGREE
  3. EDUCATIONAL SCIENCES DEPARTMENT
  4. 2182 Educational Ad. Supervision Planning And Econmcs
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EYD 512STATISTIC AND DATA ANALYSIS3 + 02nd Semester6

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective The aim of this course is to teach basic concepts and subjects about statistics and data analysis.
Course Content Desciriptive stastistics, basic ideas, multivariate and joint distributions, and mod, medyan, and expected values and moments, sampling, analysis of varience, x ²-tests corelations and regression, nonparametric methods. .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Will be able to know the basic concepts about inferential statistics
2Will be able to know the parametric and nonparametric tests
3Will be able to distinguish the parametric and nonparametric tests
4Will be able to use parametric tests
5Will be able to use parametric tests

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15
LO 00111  5 5   5    
LO 00222  5 5   5    
LO 00313  5 5   5    
LO 00422  5 5   5    
LO 00531  5 5   5    
Sub Total99  25 25   25    
Contribution220050500050000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments5945
Mid-terms11313
Final examination11414
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1METİN YAŞAR
Details 2019-2020 Fall2METİN YAŞAR
Details 2019-2020 Fall3ÖMÜR KAYA KALKAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EYD 512 STATISTIC AND DATA ANALYSIS 3 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. METİN YAŞAR myasar@pau.edu.tr EGT A0332-02 EGT A0431-10 %
Goals The aim of this course is to teach basic concepts and subjects about statistics and data analysis.
Content Desciriptive stastistics, basic ideas, multivariate and joint distributions, and mod, medyan, and expected values and moments, sampling, analysis of varience, x ²-tests corelations and regression, nonparametric methods. .
Topics
WeeksTopics
1 the basic concepts about statistics
2 coding and entering data, data tabulation and summarization
3 frequency distribution and graphs
4 Measure of central tendency and measures of variability, probability distributions (normal distribution, sampling distribution and central limit theorem)
5 standard scores (Z scores, T Scores)
6 Types of correlation
7 Pearson Correlation
8 simple linear regression
9 t-tests
10 Nonparametric equivalence of t-tests
11 One-way ANOVA
12 nonparametric equivalence of t-tests
13 Two-way ANOVA
14 Overview
Materials
Materials are not specified.
Resources
ResourcesResources Language
Baykul, Y. (1999). İstatsitik metodlar ve uygulamalar. 3. Baskı. Anı Yayıncılık, AnkaraTürkçe
Baştürk, R. “Bütün Yönleriyle SPSS Örnekli Nonparametrik İstatistiksel Yöntemler” Anı Yayıncılık, Ankara, 2010.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes