What is the significance of the 68-95-99.7 rule in a normal distribution?
- It refers to the kurtosis of the distribution
- It refers to the outliers in the distribution
- It refers to the percentage of data within 1, 2, and 3 standard deviations of the mean
- It refers to the skewness of the distribution
The 68-95-99.7 rule, also known as the empirical rule, states that for a normal distribution, 68% of the data fall within one standard deviation of the mean, 95% fall within two standard deviations, and 99.7% fall within three standard deviations. This rule provides a quick estimate of the probability of a certain event within the distribution.
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