7 min read
This AP Statistics study guide covers data distributions, focusing on random and non-random variation. It explains normality, its importance in probability calculations and standardization using z-scores. The guide emphasizes the Large Counts Condition for normal distribution approximation and provides an example. Finally, it offers practice questions covering these concepts and exam tips for success.
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Question 1 of 10
🥳 Imagine you're observing the number of chocolate chips in cookies from a large batch. If the chips are randomly distributed, what kind of variation are you most likely seeing?
Non-random variation due to bias
Random variation with no discernible pattern
Non-random variation due to measurement error
Systematic variation with a clear trend