Sampling error
(Redirected from Sampling variation)
Sampling Error
A Sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data and the results found in the sample do not represent the results that would be obtained from the entire population.
Definition[edit | edit source]
In statistics, a sampling error is the gap between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter. It is the error caused by observing a sample instead of the whole population. The sampling error is due to the fact that the sample is not a perfect representation of the population.
Types of Sampling Error[edit | edit source]
There are two types of sampling errors: random sampling error and non-random sampling error.
Random Sampling Error[edit | edit source]
A random sampling error is a statistical fluctuation that occurs because of chance variations in the elements selected for the sample. It is the difference between the statistical result obtained from a sample and the true value existing in the population. This type of error can be reduced by increasing the sample size.
Non-random Sampling Error[edit | edit source]
A non-random sampling error is a statistical error that occurs when the sample is not representative of the population. This type of error can occur if the researcher selects a sample that is not representative of the population or if the responses are not entirely accurate or truthful.
Causes of Sampling Error[edit | edit source]
Sampling error can be caused by a variety of factors, including:
- The sample size is too small
- The sample is not representative of the population
- The method of selection is biased
- The data collected is not accurate
Reducing Sampling Error[edit | edit source]
There are several ways to reduce sampling error, including:
- Increasing the sample size
- Using a random sampling method
- Ensuring the sample is representative of the population
- Collecting accurate data
See Also[edit | edit source]
References[edit | edit source]
Sampling error Resources | |
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