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The list includes 2,500 Ford buyers, 2,500 GM buyers, 2,500 Honda buyers, and 2,500 Toyota buyers.The analyst selects a sample of 400 car buyers, by randomly sampling 100 buyers of each brand. (A) Yes, because each buyer in the sample was randomly sampled.
The sampling strategy that you select in your dissertation should naturally flow from your chosen research design and research methods, as well as taking into account issues of research ethics.
To set the sampling strategy that you will use in your dissertation, you need to follow three steps: (a) understand the key terms and basic principles; (b) determine which sampling technique you will use to select the units that will make up your sample; and (c) consider the practicalities of choosing such a sampling strategy for your dissertation (e.g., what time you have available, what access you have, etc.).
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This scheme is one in which every unit in the population has a chance (greater than zero) of being selected in the sample.
There are four basic types of sampling procedures associated with probability samples.Sampling is a process or technique of choosing a sub-group from a population to participate in the study; it is the process of selecting a number of individuals for a study in such a way that the individuals selected represent the large group from which they were selected (Ogula, 2005).There are two major sampling procedures in research.Thus, all possible samples of size 400 did not have an equal chance of being selected; so this cannot be a simple random sample.The fact that each buyer in the sample was randomly sampled is a necessary condition for a simple random sample, but it is not sufficient.The numbers are placed in a bowl and thoroughly mixed. Population members having the selected numbers are included in the sample.Problem An auto analyst is conducting a satisfaction survey, sampling from a list of 10,000 new car buyers.Only probability sampling methods permit that kind of analysis.Two of the main types of non-probability sampling methods are voluntary samples and convenience samples.The main types of probability sampling methods are simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling.The key benefit of probability sampling methods is that they guarantee that the sample chosen is representative of the population.