# Empirical Rule: Definition, Formula, Example, How It's Used

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## Definition of 'Empirical Rule: Definition, Formula, Example, How It's Used'

The empirical rule, also known as the 68-95-99.7 rule or the normal distribution, is a statistical principle that describes the distribution of data. It states that for a normal distribution, approximately 68% of the data will fall within one standard deviation of the mean, 95% will fall within two standard deviations of the mean, and 99.7% will fall within three standard deviations of the mean.

The empirical rule can be used to make inferences about the probability of an event occurring. For example, if a normal distribution has a mean of 100 and a standard deviation of 10, then we can say that there is a 68% chance that a randomly selected value will be between 90 and 110.

The empirical rule is a useful tool for understanding the distribution of data and making inferences about the probability of an event occurring.

The empirical rule can be used to make inferences about the probability of an event occurring. For example, if a normal distribution has a mean of 100 and a standard deviation of 10, then we can say that there is a 68% chance that a randomly selected value will be between 90 and 110.

The empirical rule is a useful tool for understanding the distribution of data and making inferences about the probability of an event occurring.

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