Sampling Error vs Non Sampling Error
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Distinguish between a sampling error and a non sampling error and "how can each be reduced".
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Solution Summary
This solution discusses the differences between a sampling error and a non sampling error.
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Sampling Errors are those errors in statistical research caused by the sample or use of a sample. In most cases, the sample is too small in relation to the population and skews the data. The sampling error can be solved by either increasing the sample size in relation to the population or by randomized sampling. The more people, the closer to ...
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