Density curves represent the overall pattern of a distribution. They are smooth, continuous curves that describe the relative likelihood of different values occurring in a dataset.
Think of density curves as a roller coaster track. Just like how a roller coaster track outlines the path that the ride will take, a density curve outlines the path that the data points are likely to follow.
Skewness: Skewness refers to the asymmetry of a distribution. It indicates whether one tail is longer or heavier than the other.
Central Limit Theorem: The Central Limit Theorem states that when independent random variables are added together, their sum tends toward a normal distribution.
Percentiles: Percentiles divide data into 100 equal parts. They help us understand where individual observations fall within a dataset.
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