A density curve is technically the smooth line that encloses a distribution. We call it a distribution because the area under the curve shows us the distribution of our data. In this lesson we’ll look at distributions with different shapes, like symmetric and normal distributions, and skewed distributions.
Read MoreNormal distributions follow the empirical rule, also called the 68-95-99.7 rule. The rule tells us that, for a normal distribution, there’s a 68% chance a data point falls within 1 standard deviation of the mean, there’s a 95% chance a data point falls within 2 standard deviations of the mean, and there’s a 99.7% chance a data point falls within 3 standard deviations of the mean.
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