Information Package / Course Catalogue
Sampling Methods
Course Code: EK309
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

Learning of a variety of sampling methods for the purpose of selecting the most appropriate sampling methods in the sampling phase of the research which is one of the most important steps. Selection of a Sample according to the selected sampling method. Giving the ability of estimation of population parameters

Course Content

1.Definition of Sampling Methods; 2.Simple Random Sampling, Selection of a sample, estimates of means-totals-proportions-totals and ratio estimations of two variables, variances and confidence limits of the estimators and the estimation of sample size; 3.Stratified Random Sampling and estimates of means-totals-proportions-totals and optimum allocation of sample size to strata in this sampling method; 4.Ratio Estimators, Variances of the estimators;

Name of Lecturer(s)
Assoc. Prof. Elvan HAYAT
Learning Outcomes
1.Learns a variety of sampling methods needed to do research
2.To be able to choose a sample from population by appropriate sample method.
3.Be able to make estimations from selection samples.
4.Be able to estimate of variances and confidence limits of the estimations.
5.To make parameter estimation based on sampling.
Recommended or Required Reading
1..
2..
3..
4.SINGH, S.: Advanced Sampling Theory with Applications: How Michael .Selected. Amy, Volume II, Kluwer Academic Publishers, 2003.
Weekly Detailed Course Contents
Week 1 - Theoretical
1. DEFINITIONS 1.1. Introduction 1.2. Basic Definitions 1.2.1. Sample Space 1.2.2. Estimator 1.2.3. Random Variable 1.2.4. Sampling Distribution 1.2.5. Variance and Standard Error of the estimate 1.2.6. Desired Characteristics
Week 2 - Theoretical
1.3. Definition of Sampling Methods 1.3.1. According to the Probability of Choosing of Sample Units 1.3.2. According to the Contains of Sample Units 1.3.3. According to the Stage of Selection of Sample Units 1.3.4. Simple Random Sampling
Week 3 - Theoretical
2.SIMPLE RANDOM SAMPLING 2.1. Introduction 2.2. Selection of a Sample 2.3. Notation and Definitions 2.4. Simple Random Sampling (SRS) 2.4.1. Estimation of Population Mean 2.4.2. Estimation of Population Total 2.4.3. Variances of the Estimated Mean and Population Total
Week 4 - Theoretical
2.4.6. Ratio Estimation of two variables 2.4.7. Variance of the Ratio Estimate of two variables 2.4.8. Variance Estimation of Ratio Estimate of two variables (Second-Degree Estimate) 2.4.9. Estimation of the proportion of a partical interest 2.4.10.
Week 5 - Practice
Problem solving
Week 6 - Practice
Problem solving
Week 7 - Theoretical
3.THE ESTIMATION OF SAMPLE SIZE 3.1. Introduction 3.2. Estimation of Sample Size in Simple Random Sampling 3.2.1. Sample Size for Estimates of Population Mean and Total in Continuous Data 3.2.2. Sample Size for Estimates of the proportions
Week 8 - Theoretical
3.THE ESTIMATION OF SAMPLE SIZE 3.1. Introduction 3.2. Estimation of Sample Size in Simple Random Sampling 3.2.1. Sample Size for Estimates of Population Mean and Total in Continuous Data 3.2.2. Sample Size for Estimates of the proportions
Week 9 - Theoretical
4.STRATIFIED SAMPLING 4.1. Introduction 4.2. Notation and Definitions 4.3. Stratified Sampling 4.3.1. Estimation of Population Mean and Total 4.3.2. Variances and Variance Estimations of Population Mean and Total 4.4. Stratified Random Sampling
Week 10 - Theoretical
4.4.3. Optimum Allocation of Sample Size to Strata 4.4.3.1. Optimum Allocation For Continuous Data 4.4.3.2. Optimum Allocation For Discrete Data. 4.4.4. Comparison of Simple Random Sampling and Stratified Random Sampling
Week 11 - Practice
Problem solving
Week 12 - Theoretical
5.RATIO ESTIMATIONS 5.1. lntroduction 5.2. Ratio Estimations in Simple Random Sampling 5.2.1. Estimation of Population Mean and Total 5.2.2. Bias of Ratio Estimation 5.2.3. Variances of the Estimates of Mean and Total
Week 13 - Theoretical
5.3. Ratio Estimations in Stratified Random Sampling 5.3.1. Separate Estimation of Population Mean and Total, Variance and Variance Estimation of the estimates. 5.3.2. Combined Estimation of Population Mean and Total, Variance of the Estimation and Estimation of Variance
Week 14 - Practice
Problem solving
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory105380
Lecture - Practice54335
Midterm Examination1516
Final Examination1617
TOTAL WORKLOAD (hours)128
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
4
4
4
4
2
3
3
3
3
OÇ-2
3
3
3
3
4
4
4
4
4
OÇ-3
3
3
3
3
3
3
3
3
3
OÇ-4
3
3
3
4
4
4
4
4
4
OÇ-5
3
4
4
4
2
5
2
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026