Serge was curious if a sample third quartile (or Qs) was an unbiased estimator of a population third quartile. He started with a large normally distributed population of test scores whose third quartile was Qs = 80 points. He then took a random sample of 6 tests and calculated the third quartile of the sample. He replaced those tests and repeated this process for a total of 40 trials. His results are summarized in the dotplot below. where each dot represents the third quartile from a sample of 6 tests. 17 70 74 86 90 78 82 Sample third quartile Based on these results, does sample third quartile appear to be a biased or unbiased estimator of population third quartile? Hint: The population third quartile is 80. Choose 1 answer: Sample third quartile appears to be a biased estimator since it consistently underestimated the population third quartile B Sample third quartile appears to be a biased estimator since it consistently overestimated the population third quartile Sample third quartile appears to be an unbiased estimator of the population third quartile