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Course Code: 
EDEM 305
Course Period: 
Autumn
Course Type: 
Core
P: 
2
Credits: 
2
ECTS: 
2
Course Language: 
İngilizce
Course Objectives: 
The main aim of this study is to examine basic statistics concepts and the relationship among them.
Course Content: 
Sampling, organization and analysis of data; sampling distribution and estimation; confidence interval; estimating the difference between two population mean, estimation for the ratio of the two population variances, estimation for the binomial parameter p; hypothesis testing, correlation and regression.

 

Course Methodology: 
1. Lecture 2. Case study 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

Course Learning Outcomes

Learning Outcomes Program Outcomes Teaching Methods Assessment Methods
1) Explain descriptive and inferential statistics. 2 1 A, E
2) Calculate measures of central tendency for a given data. 1, 2, 3, 4 1, 7 A, E
3) Calculate measures of variability for a given data. 1, 3 1, 7 A, E
4) Apply appropriate statistical tests for given hypothesis. 1, 3 2, 7 A, E
5) Calculate correlation coefficient and write regression equation. 1, 2, 3, 4 2, 7 A, E

 

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Sampling, organization and analysis of data  
2 Measures of Central Tendency  
3 Measures of Variability  
4 Sampling distribution and estimation  
5 Confidence interval  
6 Estimating the difference between two population mean  
7 Estimation for the binomial parameter p  
8 Midterm  
9 Hypothesis testing  
10 Hypothesis testing with z-scores  
11 Hypothesis testing with t-test  
12 Hypothesis testing with ANOVA  
13 Correlation  
14 Regression  

 

Recommended Sources

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

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

Recommended Course Notes

 

Material Sharing

COURSE MATERIALS 
Documents Exemplary articles for different hypothesis testing procedures
Assignments 1) Apply appropriate statistical tests for given data and run hypothesis testing procedures with SPSS
Exams Midterm and final exams

 

Assessment

ASSESSMENT
IN-TERM STUDIES Quantity Percentage
Midterm 1 40
Final 1 40
Assignment 1 20
Total   100
Contribution of Final Exam to Overall Grade   40
Contribution of In-term Studies to Overall Grade   60
Total   100

 

Course’s Contribution to Program

COURSE CONTRIBUTION TO PROGRAM OUTCOMES
No Program Outcomes Level of contribution
1 2 3 4 5
1 Knows historical, cultural and scientific developments of the mathematical concepts covered in elementary school mathematics curriculum         X
2 Applies fundamental mathematical and geometric concepts into other disciplines and real life situations         X
3 Applies mathematical processes (e.g. problem solving, proving theorems, etc.) into given cases accurately.         X
4 Plans mathematics teaching process in line with the elementary school curriculum’s vision, philosophy and goals   X      
5 Uses teaching strategies and techniques that are appropriate for students’ age, grade level, individual differences and readiness level   X      
6 Applies mathematical processes (e.g. problem solving, proving theorems, etc.) into given cases accurately. X        
7 Uses and develops appropriate resources and materials to teach mathematics X        
8 Monitors students’ learning process, development and achievement and assesses them by using appropriate assessment tools X        
9 Improves professional knowledge by following recent issues in mathematics education X        
10 Contributes to the development of mathematics education by doing scientific research       X  

 

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration
(Hour)
Total Workload (Hour)
Course hours (including the exam week: 15 x total course) 15 2 30
Hours for off-the-classroom study (pre-study, practice) 15 1 15
Midterm 1 5 5
Assignment 1 2 2
Final 1 5 5
Total Workload     57
Total Workload / 25 (hours)     2,28
ECTS     2