Which of the following is a biased estimator? That is, which of the following does not target the population parameter?
Choose the correct answer below.
Variance
Mean
Median
Proportion
Final Answer: \(\boxed{\text{Median}}\)
Step 1 :Understand what a biased estimator is. A biased estimator is an estimator that does not target the population parameter. It does not accurately represent the population parameter it is supposed to estimate.
Step 2 :The variance, mean, and proportion are all unbiased estimators because they accurately represent the population parameters they are supposed to estimate.
Step 3 :The median, however, can be a biased estimator because it does not always accurately represent the population parameter it is supposed to estimate.
Step 4 :Therefore, the answer to this question is the median.
Step 5 :Final Answer: \(\boxed{\text{Median}}\)