GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SAMPLING METHODS II/İST-326
Course Title: SAMPLING METHODS II
Credits 3 ECTS 5
Semester 6 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
   Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Yaprak Arzu ÖZDEMİR ,Assist.Prof. Dr. Esen GÜRBÜZSEL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/yaprak, http://websitem.gazi.edu.tr/site/esen
 -- EMAIL(S) OF LECTURER(S)
  yaprak@gazi.edu.tr, esen@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Ability to obtain the basic concepts of systematic sampling
Ability to obtain the basic concepts of simple cluster sampling
Ability to obtain the basic concepts of the ratio estimate
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Systematic sampling
2. Week  Sample selection procedure in systematic sampling
3. Week  The variance of sampling mean in systematic sampling
4. Week  Estimation of the variance of sampling mean in systematic sampling
5. Week  Simple cluster sampling
6. Week  Estimation of population total, its variance and estimator
7. Week  Computational forms for variance of estimation of population total
8. Week  When cluster sizes and subsample sizes are equal,computational forms for variance of estimation of population total
9. Week  Midterm exam
10. Week  Comparison of cluster sampling with simple random sampling
11. Week  Allocation of the sample
12. Week  The ratio estimate
13. Week  The sample ratio r, simple random sampling case
14. Week  Stratified random sampling case
15. Week  Cluster sampling case
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
   Yamane T., 2001, Elementary Sampling Theory. Thompson S., 1992, Sampling.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
3
42
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
10
10
 Other
4
4
16
 TOTAL WORKLOAD: 
120
 TOTAL WORKLOAD / 25: 
4.8
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X