Sampling Bias

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Bol Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A biased sample is a statistical sample of a population in which all participants are not equally balanced or objectively represented. It results from sampling bias, causing some members of the population to be less likely to be included than others. If the bias makes estimation of population parameters impossible, the sample is a non-probability sample. It is also called ascertainment bias. Ascertainment bias has basically the same definition, but is still sometimes classified as a separate type of bias.

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A biased sample is a statistical sample of a population in which all participants are not equally balanced or objectively represented. It results from sampling bias, causing some members of the population to be less likely to be included than others. If the bias makes estimation of population parameters impossible, the sample is a non-probability sample. It is also called ascertainment bias. Ascertainment bias has basically the same definition, but is still sometimes classified as a separate type of bias.


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