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Course Code: 
EDGN 529
Semester: 
Bahar
Course Type: 
Zorunlu
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
6
Course Objectives: 
The goal of this course is to comprehend fundamentals of inferential statistics and use specific software to testing different hypothesis.
Course Content: 

Inferential statistics

Hypothesis Testing

Normal distribution & z-score

Analysis of Variance (ANOVA)

Correlation & Linear Regression

Course Methodology: 
1. Lecture 3. Discussion 4. Demonstration 5. Group work 6. Microteaching 7. Problem solving
Course Evaluation Methods: 
A. Supply type B. Multiple-choice test C. Incomplete D. True-False E. Oral exam F. Portfolio G. Performance type H. Report

Vertical Tabs

Dersin Öğrenme Çıktıları

Learning Outcomes Teaching Methods Assessment Methods
1) Comprehend the importance of  inferential statistics 1, 3 A
2) Define and exemplify hypothesis testing  1, 3 A
3) Explain the characteristics of normal distribution 1, 3 A
4) Explain the usage of standard scores  1, 3 A
5) Use SPSS to run t-test 5, 7 G
6) Use SPSS to run ANOVA 5, 7 G
7) Define correlation and linear regression 1, 3 A
8) Write regression equation for given data  5, 7 G

Dersin Akışı

COURSE CONTENT
Week Topics Study Materials
1 Descriptive Statistics vs. Inferential Statistics  
2 Normal Distribution  
3 Hypothesis Testing  
4 T-test for one sample  
5 T-test for two independent sample  
6 T-test for two related samples  
7 Analysis of Variance (ANOVA)  
8 One way ANOVA (independent samples)  
9 One way ANOVA (dependent samples)  
10 Two way ANOVA  
11 Correlation  
12 Regression  
13 Non parametric tests  
14 Choosing right statistics  

Kaynaklar

RESOURCES
Compulsory 1) Gravetter, F.J. and Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. 9th edition. Wadsworth, USA.

2) Pallant, J. (2011). SPSS Survival Manual: A Step by Step Guide to data Analysis using SPSS, 4th edition. Open University Press, USA

Recommended 1) Salkind, N.J. (2011). Statistics for People Who (Think They) Hate Statistics, 4th  Edition, Sage, USA.

2) Heiman, G.W. (2011). Basic Statistics for the Behavioral Sciences. 6th edition. Wadsworth, USA

Materyal Paylaşımı

MATERIAL SHARING
Documents  
Assignments 1) Write research questions for specific hypothesis testing procedures

2) Use SPSS to run t-test for given data

3) Use SPSS to run ANOVA for given data

4) Use SPSS to run correlation and regression analysis for given data

Exams  

Değerlendirme Sistemi

ASSESSMENT
IN-TERM STUDIES Quantity Percentage
Midterm 1 30
Quiz    
Final 1 40
Assignment 1 30
Total   100
Contribution of Final Exam to Overall Grade   40
Contribution of In-term Studies to Overall Grade   60
Total   100

Dersin Program Çıktılarına Katkısı

COURSE'S CONTRIBUTION TO PROGRAM
No Program Learning Outcomes Contribution
1 2 3 4 5  
1 Understanding and the history, principles and philosophy  of curriculum and instruction and being able to use them X          
2 To be aware of the national and international current developments and implementations,     X      
3 To know the variables involved in teaching-learning process and to design the lessons in the light of them.     X      
4 To know the scientific research methods necessary for his/her personal and academic development and to have the ability to apply them as carrying out research studies and reporting their findings in the field of curriculum and instruction.         X  
5 To be able to use information and communication technologies efficiently for his/her personal and academic development and the analysis of the data collection.         X  
6 To know and make use of the theories related to development, learning and personal growth for life-long positive development.   X        
7 To be equipped with the necessary teaching-learning qualifications as well as the necessary skills to develop them professionally.       X    
8 To know the principles and techniques of curriculum and syllabus evaluation and to be able to evaluate the curriculum and syllabus in the light of them. X          
9 To grasp and to apply the social, cultural and societal responsibilities and to be able to act upon these properties. X          
10 To understand the properties and structure of projects based upon needs and to be able to run the project process in line with these properties.       X    

AKTS İş Yükü Tablosu

 
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration
(Hour)
Total
Workload
(Hour)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-Term(s) 1 12 12
Quiz(es) - - -
Assignment(s) 1 12 12
Final 1 20 20
Total Work Load     156
Total Work Load / 25 (h)     6,24
ECTS Credit of the Course     6