COURSE UNIT TITLE

: SAMPLING AND SURVEY DESIGN

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5009 SAMPLING AND SURVEY DESIGN 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

ASSISTANT PROFESSOR SENEM VAHAPLAR

Offered to

Statistics
Statistics
Statistics Orientation Program
STATISTICS

Course Objective

The aims of the course are teaching basic ideas of sampling from an applied perspective and providing experience with real life problems. The course will cover the main techniques used in sampling practice: simple random sampling, stratification, systematic sampling, cluster sampling, multistage sampling and probability proportional to size sampling. These methods will be examined further in the context of sample designs. The course will also cover sampling frames, cost models and sampling error estimation techniques.

Learning Outcomes of the Course Unit

1   Understanding basic elements of survey sampling
2   Understanding theoretical background of sampling techniques
3   Choosing the appropriate sampling technique for the survey
4   Obtaining parameter estimations using appropriate sampling techniques
5   Interpreting obtained results

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Elements of The Sampling Problem
2 The design of Sample Survey
3 Estimation of a Population Mean, Total and Proportion in Simple Random Sampling
4 Selecting the Sample Size in Simple Random Sampling
5 Estimation of a Population Mean, Total and Proportion in Stratified Random Sampling
6 Selecting the Sample Size in Stratified Random Sampling
7 Estimation of a Population Mean, Total and Proportion in Systematic Sampling
8 Selecting the Sample Size in Systematic Sampling
9 Estimation of a Population Mean, Total and Proportion in Cluster Sampling
10 Selecting the Sample Size in Cluster Sampling
11 First Presentations (Probability Sampling Methods)
12 Nonprobability Sampling Methods
13 Second Presentations (Nonprobability Sampling Methods)
14 Ranked Set Sampling

Recomended or Required Reading

R.L. Scheaffer, W. Mendenhall, R.L. Ott, K.G. Gerow, Survey Sampling, 7th Edition, Brooks/Cole, Canada, 2012.

Planned Learning Activities and Teaching Methods

Lecture, Homeworks, Presentation

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of examination and presentations.

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-posta: senem.sahan@deu.edu.tr
Tel: 0232 301 86 03

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 0 0 0
Preparation for final exam 0 0 0
Preparing assignments 2 36 72
Preparing presentations 2 24 48
Final Assignment 2 3 6
Midterm 0 0 0
TOTAL WORKLOAD (hours) 196

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1555555
LO.255545
LO.355555
LO.4555554
LO.55555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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