Chapter 1 Introduction
1.1 Overview
1.2 Statistical Survey
1.3 Sampling
1.4 Basic terminology in sampling surveys
1.5 Sampling method
1.6 Basic Concepts

Chapter 2 Simple Random Sampling
2.1 Overview
2.2 Simple random sampling
2.3 Parameter estimation
2.4 Determining sample size
2.5 Practice using Excel

Chapter 3 Estimation Using Auxiliary Information
3.1 Overview
3.2 Not estimated
3.3 Regression estimation
3.4 Practice using Excel

Chapter 4 Stratified Random Sampling
4.1 Overview
4.2 floor fire
4.3 Parameter estimation
4.4 Determining sample size
4.5 Distribution of samples
4.6 Post-stratification
4.7 Comparison of stratified random sampling and simple random sampling

Chapter 5: Systematic Sampling Method
5.1 Overview
5.2 Extraction of phylogenetic samples
5.3 Estimation of population mean and population total
5.4 Population Type
5.5 Estimation of the mother ratio
5.6 Determining sample size
5.7 Practice using Excel
5.8 Supplementary Note: Variance Estimation in Systematic Samples

Chapter 6: Colony Sampling Method
6.1 Overview
6.2 Estimation: When the colonies are of equal size
6.3 Estimation: When colonies have different sizes
6.4 Probability-proportional sampling method
6.5 Supplementary Note: Probability-proportional sampling

Chapter 7 Two-Stage Cluster Sampling
7.1 Overview
7.2 Two-stage cluster sampling method
7.3 Self-weighted design

Chapter 8: Design of the Sampling Survey
8.1 Sampling Procedure
8.2 Data collection method
8.3 How to complete the questionnaire

Chapter 9 Nonsampling Error
9.1 Overview
9.2 Bias
9.3 Types of nonsampling errors
9.4 Measurement of nonsampling error
9.5 Non-response fallback method
9.6 Probabilistic Response Techniques

Chapter 10: Sample Survey Cases
10.1 Overview
10.2 Information Statistics Survey
10.3 2019 Housing Survey

·References
·Answers to practice problems
·Appendix (standard normal distribution table, random number table)
·Search

In statistics, the most widely used methods for collecting data are statistical surveys, experiments, and observations.
Among these methods, the most widely used is statistical research.
Statistical surveys are widely used in various fields of society, such as government surveys, public opinion surveys, marketing surveys, and general research surveys.
Most statistical surveys today are conducted through sample surveys.
Therefore, understanding sample surveys and having the ability to utilize them appropriately is very important for conducting statistical surveys correctly and utilizing the results properly.

『Sampling Theory』 is a subject that provides the theoretical basis for statistical research and is also the foundation of the study of statistics.
The subject 『Statistical Research Methodology』 learned in the first semester of the third year mainly focused on social research and covered the overall content of statistical research, whereas 『Sampling Research Theory』 covered the theoretical aspects of statistical research, so the two subjects can be said to be complementary.
This textbook covers the basics of sampling theory and presents numerous examples to facilitate understanding of the concepts rather than a mathematical approach.

This textbook is largely divided into three parts.
Chapter 1 provides an overview of sample surveys and covers basic terms and concepts. Chapters 2 through 7 introduce various widely used sampling methods and their application cases. Chapters 8 through 10 introduce sample survey design, questionnaire writing, non-sampling errors, and sample survey cases that arise when applying actual sample surveys.