Sampling error

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(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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