It could be more accurately called a randomly chosen sample. 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. A random sample is a sample that is chosen randomly. 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. It is asserted that simple random sampling is favorable in homogeneous anduniformly. Simple random sampling (SRS) is a widely used method of selecting a sample from a population. The main advantage of SRS is that it ensures that each member of the population has an equal chance of being selected, which leads to a representative sample of the population. It involves picking the desired sample size and selecting observations. Simple random sampling (SRS) is a widely used method of selecting a sample from a population. 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. Simple random sampling Involves selection of households which is independent and random Is the basis for most statistical theory, that is: The most common. Simple random sampling is a widely utilized sampling method in quantitative studies with surveyinstruments. Simple random sampling is the most straightforward approach to getting a random sample. 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. Mia has a population of 50 pupils in her class. 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.

Random sampling