Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias.

Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample. First, you must assign a unique identifier to each item.

A sample of 100 customers is selected from the data set Customers by simple random sampling. With simple random sampling and no stratification in the sample design, the selection probability is the ...

Example 62.2: Simple Random Cluster Sampling 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, ...

The results obtained by the authors so far on controlled sampling with equal probabilities and without replacement have been consolidated in this paper in an integrated fashion. Utilizing these ...

When observations are costly or time-consuming but the ranking of the observations without actual measurement can be done relatively easily, rankedset sampling (RSS) can be employed instead of simple ...

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.