9 min read
This AP Statistics study guide covers data analysis, focusing on misleading visuals (manipulated axes, counts vs. percentages), the importance of randomness (sampling and assignment), and various types of bias (convenience, self-selection, voluntary response, omitted variable). It differentiates between reliable and unreliable sampling methods, and provides practice questions on these concepts. The guide also emphasizes exam strategies like time management and careful reading.
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Question 1 of 11
🎉 What does random sampling ensure in data collection?
That the sample is easy to collect
That every member of the population has an equal chance of being selected
That the sample is large
That the sample contains only volunteers