👉 In statistics, an unbiased estimator is an estimator that does not give any bias when it is applied to a sample of data. This means that the estimate will be as close to the actual value in the population as possible. In other words, if the true value is known, then the unbiased estimator will have the same mean squared error (MSE) or MSE with respect to the true value, regardless of how many times the estimator is applied. For example, consider a sample of 10
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