FME606 - USE of STATISTICAL DATA ANALYSIS IN SCIENCE EDU.

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
USE of STATISTICAL DATA ANALYSIS IN SCIENCE EDU. FME606 Any Semester/Year 3 0 3 8
Prequisites-
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesQuestion and Answer
Project Design/Management
 
Instructor (s)Instructor 
Course objectiveIt is aimed to have graduate students perform introductory quantitative analysis and discuss the results. 
Learning outcomes
  1. Explains the basic concepts of statistics.
  2. Shows the frequency distributions and the data tables and graphics.
  3. Explain the concept of probability and probability calculation rules, probability calculations.
  4. Establishes the relationship between the distribution of the measurements and the standard shift, describes the features of the standard normal distribution.
  5. Measures of central tendency (mean, median) makes the calculations.
  6. Change in size (range, standard deviation, standard scores) makes the calculations. Correlation and describes types. Analysis of comments makes it, and the results. Make and interpret the results of analyzes related to hypothesis testing.
  7. Chi-square Test results related to the make and interpret analyzes. Make and interpret the results of analysis of variance.
  8. Make and interpret the results of regression analysis. Students can use SPSS data analysis.
Course ContentBasic concepts in Statistics
Frequency distribution
Probability theory
Standart normal distribution
Central tendency (mean, mode, median)
Variability,(Range, variance and Standard distribution)
Correlation and its types
Hypothesis testing
Chi-square test
Analysis of variance
Regression analysis
 
ReferencesArıcı, H. (2004). İstatistik yöntemler ve uygulamalar. Meteksan:Ankara.
Baykul B. (1999). İstatistik metotlar ve uygulamalar. Anı Yayıncılık:Ankara.
Köklü N., Büyüköztürk Ş.(2000).Sosyal bilimler için istatistiğe giriş. PegemA Yayıncılık, Ankara.
 

Course outline weekly

WeeksTopics
Week 1Basic concepts in Statistics and Frequency distribution
Week 2Probability theory and Standart normal distribution
Week 3Central tendency (mean, mode, median) and Variability,(Range, variance and Standard distribution)
Week 4Correlation and its types
Week 5Midterm exam
Week 6Hypothesis testing
Week 7Chi-square test
Week 8Analysis of variance
Week 9Regression analysis
Week 10Midterm exam
Week 11SPSS data analysis
Week 12SPSS data analysis
Week 13SPSS data analysis
Week 14SPSS data analysis
Week 15--
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation110
Project220
Seminar00
Midterms220
Final exam150
Total100
Percentage of semester activities contributing grade succes450
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)10440
Presentation / Seminar Preparation22448
Project12020
Homework assignment000
Midterms (Study duration)23060
Final Exam (Study duration) 13030
Total Workload30111240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has expert level of theoretical and practical knowledge in science and mathematics fields by adhering secondary science and mathematics education undergraduate programs' competenciesX    
2. Has advanced knowledge of scientific research methods and techniques.    X 
3. As an individual who has science expertise in the education of secondary science and mathematics develops his/her knowledge and examines broadly these knowledge.   X 
4. Discusses the relationship between his/her field and other disciplines.  X  
5. Uses and develops expert level of theoretical and practical knowledge in fields of science and mathematics education.  X  
6. Proposes by using qualitative and quantitative research methods. X    
7. Uses advantage of advance technology in studies related to his/her field.   X 
8. Produces new knowledge by integrating knowledge and skills obtained from his/her expertise field with the other knowledge in different fields  X  
9. Constructs a problem within its framework with specific plan, develops solutions and evaluate the results which as a result of solutionX    
10. Develops new approaches for solving of encountered issues related to field education and produces solution by taking responsibilityX    
11. As an individual, who believes in lifelong learning, evaluates his/her knowledge in the field critically.   X 
12. Assesses relations related to his/her field with critical approach and guides to develop or change these relations.  X  
13. Makes verbal or written communications with colleagues in academic environments by using a foreign language effectively.X    
14. Shares knowledge related to developments and studies in his/her field with different groups as verbal and written at the national or international level   X  
15. In field researches, controls and teaches social, scientific and ethical values in the process of data collection, interpretation and dissemination  X  

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest