Disadvantages of simple random sampling11/8/2023 ![]() However, cluster sampling would also be good seeing that it is very random and could also be representative, but it may be more biased to one category of students (eg the smarter ones) than another. In this case stratified sampling would be a good method to use in my point of view because it is representative of both studious pupils and poorer achieving ones. ![]() She then asks 5 of each group at random and sends up asking 25. Stratified sampling- she puts 50 into categories: high achieving smart kids, decently achieving kids, mediumly achieving kids, lower poorer achieving kids and clueless class-skippers. Cluster sampling- she puts 50 into random groups of 5 so we get 10 groups then randomly selects 5 of them and interviews everyone in those groups -> 25 people are askedĢ. She wants to know whether most people like homework or not.ġ. Table: Advantages and Disadvantages Simple Random Sampling. ![]() Mia has a population of 50 pupils in her class. Simple random sampling (SRS) is a probability selection scheme where each unit in the population is given an equal probability of selection, and thus every possible sample of a given size has the same probability of being selected. One of the great advantages of simple random sampling method is that it needs only a minimum knowledge of the study group of population in advance. Cluster samples put the population into groups, and then selects the groups at random and asks EVERYONE in the selected groups.Ī stratified random sample puts the population into groups (eg categories, like freshman, sophomore, junior, senior) and then only a few (people for example) are selected from each sample.
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