COURSE UNIT TITLE

: ADVANCED SAMPLING THEORY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 6007 ADVANCED SAMPLING THEORY ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Statistics (English)
STATISTICS (ENGLISH)
Statistics (English)

Course Objective

The first aim of the course is to provide an introduction to theoretical and practical aspects of sampling techniques. The second aim is to present a comprehensive account of sampling theory as it has been developed for use in sample surveys, with illustrations to show how the theory is applied in practice and with a supply of exercises to be worked by the students. The course will cover the main techniques used in sampling practice: simple random sampling, sampling for proportions, the estimation of sample size, ratio estimates , stratification, systematic sampling, cluster sampling.

Learning Outcomes of the Course Unit

1   Understanding theoretical and practical aspects of sampling techniques
2   Understanding how the theory is applied in practice
3   Choosing the appropriate sampling technique for the survey
4   Obtaining parameter estimations using appropriate sampling techniques
5   Interpreting obtained results and sources of error in surveys

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Advantages of the Sampling Method
2 Simple Random Sampling
3 Sampling for Proportions and Percentages
4 The Estimation of Sample Size
5 Stratified Random Sampling,Assignment1
6 Further Aspects of Stratified Sampling
7 Ratio Estimates, Regression Estimates
8 Midterm
9 Systematic Sampling, Assignment2
10 One-Stage Cluster Sampling
11 Subsampling with Units of Equal Size
12 Subsampling with Units of Unequal Size
13 Double Sampling, Assignment3
14 Sources of Error in Surveys

Recomended or Required Reading

W.G.Cochran, Sampling Techniques, 2.nd Edition, John Wiley& Sons, Inc. New York,1963
Toro Yamane, Temel Örnekleme Yöntemleri, Birinci Basım, Literatür Yayınları, Istanbul,2001
W.Mendenhall, L.Ott, R.L.Scheaffer, Elementary Survey Sampling, 3rd Edition, Duxbury Pres, California, 1982

Planned Learning Activities and Teaching Methods

Lecture, Homeworks.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework assignments and examinations.

Language of Instruction

English

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: s.alpaykut@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation before/after weekly lectures 14 2 28
Preparing Individual Assignments 3 29 87
Preparation for Final Exam 1 30 30
Preparation for Mid-term Exam 1 16 16
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 207

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15555545
LO.255545
LO.35545555
LO.454554
LO.55555555