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Benefits of random sampling
Benefits of random sampling





  1. #Benefits of random sampling full
  2. #Benefits of random sampling software
  3. #Benefits of random sampling download

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benefits of random sampling

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#Benefits of random sampling download

The internet is really useful in the fact that we can download products like music, video and software.

#Benefits of random sampling software

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#Benefits of random sampling full

The cost of recalls could well exceed the cost of full sampling in these situations. For example, recall notices from automobile manufacturers are common place today, however, if full or first article testing were done instead of sample testing some of these recalls would be unnecessary.

benefits of random sampling

Random sampling also could create costly repairs or expose individuals to dangerous situations. Lets say the death rate was only 1% this would mean 10,000 people out of the 1,000,000 if treated with the new medicine would die instantly. However, if this drug were put on the market to treat 1,000,000 people with this particular cancer the side effect of "instant death" that did not appear in the original sample of 100 because none of the original 100 died would make this drug unacceptable if the sample had identified this fact. The results of those sampled indicate the drug did reduce the risks of the cancer and in some cases the cancer went into remission. For example, a random sample of 100 individuals with cancer are selected to test a new cancer fighting drug. Therefore conclusions or interpretations of the sample data could be misleading and the consequences severe, such as death. Sampling that asks for volunteers is probably the least expensive way of sampling, although this can lead to inaccurate information.Ī primary disadvantage of random sampling is that it may not in fact be a random sample. Quota sampling would simply pick the required number of people and snowball sampling could include subjects who had particular traits.

benefits of random sampling

Purposive sampling, which would pick subjects out dependent on what the sample was for would ensure the balance of the groups was correct if groups were being selected. The other types of sampling are not random. This would, however, be a very complex way of sampling and again would take a lot of time and be costly. A stage random sample would contain elements of all those types already mentioned and the advantage of this technique would be that a probability sample could be established at stages throughout. People would feel comfortable in providing this information, as it would be given as a group although statistics would be likely to be unnatural in that some areas would have higher levels of crime or unemployment for example. Cluster sampling is when small amounts of people are chosen to provide information. However, it would be highly costly and time-consuming in that the specific roles would first need to be established. The advantage of this would be that it would be easy to make sure that all relevant groups were sampled. A stratified random sample would sample people from individual groups that were identifiable. The disadvantages of this type of sample is that it is uneconomical to achieve, and also that the timescale to get the results would be too long. The advantage of this technique is that if all those asked provide a sample then the answers provided will be highly representative. The first type of random sampling is a simple technique, which samples the whole population. There are number of advantages and disadvantages of random sampling, and indeed, many types of random sampling itself.







Benefits of random sampling