how does cluster sampling and systematic sampling differ 
cluster sampling and systematic sampling differ in how they pull sample points from the population included in the sample cluster sampling divides the population into clusters and then takes a simple random sample from each cluster systematic sampling selects a random starting point from the population then a sample is taken from regular fixed intervals of the population depending on its size cluster sampling is susceptible to a larger sampling error than systematic sampling though it may be a cheaper process the bottom linesampling can be an effective way to draw conclusions about a broad group of people items or something else of interest systematic sampling is one of the most popular ways to go about this as it is cheaper and less time consuming than other options yes it isn t flawless however if you have a large data set without patterns between intervals systematic sampling is capable of providing reliable samples at a relatively low cost 