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Stuvia.com - The study-notes marketplaceSampling:Probability Sampling:Sampling technique where each unit in the population has an equal of being selected Simple Random Sampling:A sample of which size nis createdby a system that guarantees that each subgroup of the population of size nhas an identical probability of being chosen as the sample. oDrawing names from a hat and selecting the winning raffle ticket from a large drum. This used method is appropriate because it is a sampling procedure that assures each element in the population of an equal chance of being included in the sample. Systematic sampling:Amethod in which sample members from a bigger population are selected according to a random starting point and a fixed, periodic interval oIf you wanted to select a random group of 1,000 people from a population of 50,000 using systematic sampling, you would simply select every 50th person, since 50,000/1,000 = 50 This used method is appropriate because it is a sampling procedure in which a starting pointis selected bya random process and then every nth numberon the list is selected. Stratified sampling:The investigator separates the population into different groups, called strata, a probability sample is selected from each group oAssume that we need to estimate average number of votesfor each candidate in an election. Assume that country has 3 towns: Town A has 1 million factory workers, Town B has 2 million office workers and Town C has 3 million retirees. We can choose to get a random sample of size 60 over entire population but there is some chance that the random sample turns out to be not well balanced across these towns and hence is biased causing a significant errorin estimation. Instead if we choose to take a random sample of 10, 20 and 30 from Town A, B and C respectively then we can produce a smaller error in estimation for the same total size of sample. This used method is appropriate because it is a probability sampling procedure in which simple random subsamples that are more or less equal on some characteristic are drawn from within each stratum of the population. Downloaded by:: bryce0736 | [email protected]Distribution of this document is illegal
Stuvia.com - The study-notes marketplaceCluster sampling:A method where the total population is separated into groups and a simple random sample of the groupsis selectedoWhen researchers investigating employees and self-employed workers for a downtown revitalization project found that a comprehensive list of these people was not available, they decided to take a cluster sample, selecting organizations (business and government) as the clusters. Asample of firms within the central business district was developed, using stratified probability sampling to identify clusters. Next, individual workers within the firms (clusters)were randomly selected and interviewed concerning the central business district. This used method is appropriate because it is. An economically efficient sampling technique
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