An estimator is said to be biased if the mean of its sampling distribution is not equal to the value of the population parameter being estimated.

Name: An estimator is said to be biased if the mean of its sampling distribution is not equal to the value of the population parameter being estimated.
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A biased estimator does not have a mean equal to the parameter it is estimating, indicating a systematic error in the estimation process.

An Estimator Is Said to Be Biased If the Mean