All Engineering Statistics Powered by AI and the LinkedIn community 1 Simple random sampling 2 Stratified sampling 3 Systematic sampling Be the first to add your personal experience 4 Cluster sampling Be the first to add your personal experience 5 Convenience sampling Be the first to add your personal experience 6 Which technique to use? 7 Here’s what else to consider Be the first to add your personal experience Sampling is a crucial step in any statistical analysis, especially when you have a small population. A small population is one that has less than 30 units, such as students in a class, employees in a department, or customers in a store. How can you select a representative sample from a small population without introducing bias or error? In this article, you will learn about the best sampling techniques for small populations and how to apply them in different scenarios. Top experts in this article Selected by the community from 4 contributions. Learn more Earn a Community Top Vo...
