Sampling error can be reduced by
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The best way to reduce sampling error is to use random sampling in the study. This means selecting the population to study through a random process. This will ensure that each member of the population under study has an equal chance of being selected.
There can be no set value. An acceptable level of sampling error for a company making high precision machine parts is likely to be very different from the sampling error for household incomes, for example.
Sampling errors are errors in the data collected during the carrying out of quantitative data surveys. They can occur for various reasons, e.g. surveys that were incorrectly filled out. It is generally said that a survey needs to have a margin of error of under 3% to be statistically significant.
The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
With probability sampling you have no control over the units that are sampled. So the only way to reduce the margin of error is to increase the size of the sample.