9 min read
This AP Statistics study guide covers sampling distributions, focusing on unbiased estimators and minimum variability. It explains bias and variability using a bullseye analogy and discusses skewness. It includes practice problems and multiple-choice/free-response questions on these concepts, including experimental design and inference. The guide also provides final exam tips, highlighting important topics, common question types, and time management strategies.
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Question 1 of 9
What does it mean for a sample statistic to be an unbiased estimator? 🤔
It always perfectly matches the population parameter
The average of the sample statistics from many samples equals the population parameter
It is the result of a small sample size
It has minimal variability