Bias (statistics)
Bias (statistics)
Bias in Statistics is a systematic error introduced into sampling or testing by selecting or encouraging one outcome or answer over others[1].
Pronunciation
- IPA: /ˈbaɪəs/
Etymology
The term 'bias' comes from the Old French word 'biais', meaning 'oblique'[2].
Definition
Bias is a term used in Statistics to describe a systematic error that is introduced into the data when the data collected does not represent the population accurately. This can occur when the sample is not representative of the population, or when the data collection method is flawed. Bias can lead to inaccurate conclusions and misinterpretations of the data.
Types of Bias
There are several types of bias in statistics, including:
- Selection bias: This occurs when the sample is not representative of the population.
- Confirmation bias: This occurs when the researcher only looks for data that supports their hypothesis, ignoring data that contradicts it.
- Measurement bias: This occurs when the data collection method is flawed, leading to inaccurate results.
- Publication bias: This occurs when studies with positive results are more likely to be published than studies with negative results.
Related Terms
See Also
References
External links
- Medical encyclopedia article on Bias (statistics)
- Wikipedia's article - Bias (statistics)
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