Using sampling classifications, it is found that:
- a) Cluster sampling.
- b) Stratified sampling.
- c) Systematic sampling.
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Samples are classified as:
- Convenient: Sample drawn from a conveniently available pool.
- Random: Basically, put all the options into a hat and drawn some of them.
- Systematic: Every kth element is taken. For example, you want to survey something on the street, you interview every 5th person, for example.
- Cluster: Divides population into groups, called clusters, and each element in the cluster is surveyed.
- Stratified: Also divides the population into groups. However, then only some elements of the group are surveyed.
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Item a:
- Products chosen, and then each is used. Thus, cluster sampling.
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Item b:
- A number of elements from each group, not all, thus, stratified sampling.
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Item c:
- Every kth element, in this case, every 20th, thus systematic sampling.
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