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The fact that car buyers of every brand were equally represented in the sample is irrelevant to whether the sampling method was simple random sampling.Similarly, the fact that population consisted of buyers of different car brands is irrelevant.
Similarly, the fact that each buyer in the sample had an equal chance of being selected is characteristic of a simple random sample, but it is not sufficient.
The sampling method in this problem used random sampling and gave each buyer an equal chance of being selected; but the sampling method was actually stratified random sampling.
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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If you view this web page on a different browser (e.g., a recent version of Edge, Chrome, Firefox, or Opera), you can watch a video treatment of this lesson.This ensures that the statistical conclusions will be valid.There are many ways to obtain a simple random sample. Each of the N population members is assigned a unique number.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.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.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.In this problem, there was a 100 percent chance that the sample would include 100 purchasers of each brand of car.There was zero percent chance that the sample would include, for example, 99 Ford buyers, 101 Honda buyers, 100 Toyota buyers, and 100 GM buyers.