This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...

Suppose that every student belongs to a study group and that study groups are formed within each grade level. Each study group contains between 2 and 4 students. Table 61.3 shows the total number of ...

For example, if a researcher wants to select a sample of 100 students from a population of 1,000, they could use systematic random sampling by selecting every 10th student from a list sorted in ...

A statistically designed random sampling scheme, based on as few as 100 people, would give a very high probability of detecting if there are any COVID-19 cases and highlight at-risk hotspots.

The first video in Pew Research Center’s Methods 101 series helps explain random sampling – a concept that lies at the heart of all probability-based survey research – and why it’s important. Fresh ...

We use random sampling as a tool for solving undirected graph problems. We show that the sparse graph, or skeleton, that arises when we randomly sample a graph's edges will accurately approximate the ...

Referring to recent confusion over whether UK crime statistics are going up or down, he said: “I’ve got a lot of time for varied and creative approaches to data collection, but when you’re looking at ...