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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IKO 625EDUCATIONAL STATISTICS3 + 02nd Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective To provide information about descriptive and inferential statistics
Course Content Basic concepts about statistics, coding and entering data, use of descriptive statistics for data tabulation and summarization, measures of central tendency, Frequency distribution, graphs and measures of variability, normal distribution, sampling distribution and central limit theorem, correlation and simple linear regression analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
11) Will be able to know the basic concepts about statistics
22) Will be able to use apply coding and entering data, data tabulation and summarization,
33) Will be able to use frequency distribution and graphs
44) Will be able to know measures of central tendency and measures of variability, probability distributions (normal distribution, sampling distribution and central limit theorem)
55) Will be able to transform raw scores to standard scores (Z scores, T Scores)
66) Will be able to use correlation and simple linear regression analysis,
77) Will be able to use t-tests and nonparametric equivalence
88) Will be able to use analysis of variances and nonparametric equivalence

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15
LO 001 154211 5111144
LO 002 2541 1 5112144
LO 003 243211 5112144
LO 004 2551   5111155
LO 005 153211 5111145
LO 006 1532 1 5111144
LO 007               
LO 008               
Sub Total 929221035 3066862526
Contribution014310104111133

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)4728
Assignments440160
Mid-terms11515
Final examination11515
Total Work Load

ECTS Credit of the Course






260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1METİN YAŞAR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IKO 625 EDUCATIONAL STATISTICS 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. METİN YAŞAR myasar@pau.edu.tr EGT A0143 %
Goals To provide information about descriptive and inferential statistics
Content Basic concepts about statistics, coding and entering data, use of descriptive statistics for data tabulation and summarization, measures of central tendency, Frequency distribution, graphs and measures of variability, normal distribution, sampling distribution and central limit theorem, correlation and simple linear regression analysis.
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