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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics SAE712 Elective Doctorate degree 1 Fall 4

Name of Lecturer(s)

Prof. Dr. Serap ÇOLAK

Learning Outcomes of the Course Unit

1) Define the basic concepts of statistics.
2) Explain the statistical methods.
3) Analyze the functioning of the SPSS program.
4) Explain where used statistical techniques.
5) Apply statistical techniques in SPSS.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Scientific Research Methods

Course Contents

Candidates are provided with profound knowledge on statistical methods, methods of implementation of the program of SPSS.

Weekly Schedule

1) variable types
2) Measures of central tendency to learn. Learn to be able to process them.
3) Learn to apply measures of central tendency in SPSS.
4) Distribution of the definition of the dimensions of what is used for, learn how to calculate.
5) Distribution learns the implementation of measures in SPSS.
6) The definition of the normal distribution, operations, where used to learn.
7) Learns the application of the normal distribution
8) Midterm examination/Assessment
9) Parametric tests definition, usage
10) Application of parametric tests in SPSS
11) Application and interpretation of parametric tests using the SPSS program
12) Application and interpretation of parametric tests using the SPSS program
13) Definition and use of non-parametric tests
14) Interpretation and application of non-parametric tests using SPSS software
15) regression analysis and applications
16) Final examination

Recommended or Required Reading

1- Alpar,R ., Spor, sağlık ve Eğitim bilimlerinde örneklerle Uygulamalı istatistik ve geçerlik-güvenirlik. Detay yayıncılık, Ankara , 2010

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Group Study
5) Lab / Workshop


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required