Simple Random Sampling vs. Systematic Sampling Simple random sampling means the data sample is chosen randomly from a population, and each item has an equal probability of being chosen.

Simple Random vs. Systematic Sampling Systematic sampling entails selecting a single random variable that determines the interval of how the population items are selected.

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 ...

An example of a simple random sample would be to choose the names of 25 employees out of a hat from a company of 250 employees. In this case the population is all 250 employees, and the sample is ...