What Unbiased is
Unbiased is a term used to describe a statistical estimate or measure that is not influenced by past values or the values of related variables. It is also used to describe a situation in which no one individual or group has an advantage over another.
In statistics, unbiased estimators are used to produce estimates of population parameters from a sample of data. A common example of an unbiased estimator is the sample mean, which is used to estimate the population mean.
Steps for Unbiased:
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Collect a sample of data that is representative of the population of interest.
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Calculate the statistic of interest (e.g. sample mean, sample variance, etc.).
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Check to see if the statistic is an unbiased estimator of the population parameter (e.g. population mean, population variance, etc.).
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If the statistic is an unbiased estimator, use it to produce an estimate of the population parameter.
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Evaluate the precision of the estimate by looking at the confidence interval or other measures of precision.
Examples
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Using a randomized double-blind trial in a medical experiment to ensure unbiased results.
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The use of a stratified random sampling technique to ensure that a survey sample is unbiased.
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Calculating unbiased estimators of population parameters to ensure accurate estimation.
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Applying a Bonferroni correction to a set of statistical tests to reduce the risk of bias.