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Answer:
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Explanation:
1.)Sampling saves money by allowing researchers to gather the same answers from a sample that they would receive from the population. Non-random sampling is significantly cheaper than random sampling, because it lowers the cost associated with finding people and collecting data from them.
2.) a,b and c
-Systematic sampling
-Stratified sampling
-Cluster sampling
3.) -Simple random sampling. In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected.
-Systematic sampling
-Stratified sampling
-Clustered sampling
4.) A parameter is a characteristic of a population. ... For example, say you want to know the mean income of the subscribers to a particular magazine—a parameter of a population. You draw a random sample of 100 subscribers and determine that their mean income is $27,500 (a statistic).