CONCEPTS AND EXERCISES IN STATISTICAL SAMPLING

This book presents a wide variety of statistical sampling exercises for finite populations, providing essential support for understanding the concepts in this field. It begins by introducing exercises related to the fundamental concepts of sampling theory, such as estimators and their distribution, general sampling methods, and error analysis. It then solves exercises related to different sampling methods, including simple random sampling, stratified sampling, systematic sampling, indirect estimators such as ratio, regression, and difference, and single-stage, two-stage, and multi-stage cluster sampling. The theoretical concepts themselves are also illustrated with examples to facilitate understanding.