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Course Information
Course Unit Title : APPLIED STATISTICS
Course Unit Code : 02EKO5106
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : 1
Semester : 1.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) :
Course Assistants : ---
Learning Outcomes of The Course Unit : 1) Learning the importance of parameter estimation in the sense of statistical theory and to investigate the properties of estimates.
2) Learning to make clear the effective methods in achiving parameter estimation and to indicate some problems in this frame.
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Point Estimation, Properties Of Estimates, Methods Of Moment, Maximum Likelihood Estimates, Sufficient Statistics, Rao-Blackwell Theorem, Hypothesis Testing Problem, Neyman-Pearson Lemma, Likelihood Ratio Tests, Unbiased And İnvariant Test, Chi-Square Test, T And F Tests, Bayes Ve Minimax Tests, Confidence Regions, Relating Hypothesis Tests And Confidence Regions, Bayes Confidence Region.
Languages of Instruction : Turkish
Course Goals : 1) To teach the subject of Applied Statistics courses
2) To teach the statistical computer applications
Course Aims : To indicate the importance of parameter estimation in the sense of statistical theory, to investigate the properties of estimates. To make clear the effective methods in achiving parameter estimation and to indicate some problems in this frame.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook : Kalaycı, Ş.(Ed.) (2006). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri. Asil Yayın Dağıtım Ltd.Şti., Ankara. Lehmann E. L., 1959, Thesting Statistical Hypothesis, John-Willey and Sons, NewYork.
Additional Resources : Uygulamalı İstatistik I, Özer SERPER, Ezgi Kitabevi, 2004 Uygulamalı İstatistik II, Özer SERPER, Ezgi Kitabevi, 2000
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
3 10 30  
Presentation :
1 20 20  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 30 30  
Workload Hour (30) :
30  
Total Work Charge / Hour :
184  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
0 0
Homework :
0 0
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
50
The ratio of the term to success :
50
The ratio of final to success :
50
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Point estimation
 
2 Properties of estimates
 
3 Methods of moment
 
4 Maximum likelihood estimates
 
5 Sufficient statistics
 
6 Rao-Blackwell theorem
 
7 Hypothesis testing problem
 
8 Neyman-Pearson lemma
 
9 Likelihood ratio tests
 
10 Unbiased and invariant test
 
11 Chi-square test, t and F tests
 
12 Bayes ve minimax tests
 
13 Confidence regions
 
14 Relating hypothesis tests and confidence regions, Bayes confidence region