The article explains how sampling distribution works by showing that its average is the same as the population parameter, and that 95% of sample results fall within two standard deviations of that value. The researchers used multi-stage, systematic sampling and random numbers tables to demonstrate this concept. They also discussed bias in sampling frames. The main goal was to help students understand sampling distribution, its properties, and how to draw samples systematically.