STATISTICAL SAMPLING. METHODOLOGY AND STEP-BY-STEP SOLVED EXERCISES

This book delves into the methodology of statistical sampling in finite populations. Furthermore, all concepts are illustrated with step-by-step solved exercises that allow for a much better understanding of the theory. It begins by presenting the basic concepts of sampling theory, such as estimators and their distribution, general methods of sample selection, and error analysis. It then develops the different types of sampling, 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. Additionally, it presents the application of sampling methods using the most appropriate software. Specifically, IBM SPSS Statistics, SAS, and Stata are used.