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Key Terms

68-95-99.7 Rule
Empirical Rule

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In a normal distribution, the majority of the data is centered about the mean. The "tails" of the curve (the right and left ends) emphasize how the data decreases as you move away from the mean.

Return to the presidents’ ages at inauguration.

Presidents' AgesHide Answer

 

Check Your Understanding

Notice that the majority of the data falls between − 1sigma and + 1sigma.

The same bar graph.  A curve is drawn above the bars of the bar graph showing the trend of the graphs. The curve starts at point 36, 0.5 and rises to the maximum point 56, 9 and then decreases to 76, 0.5. An arrow labeled mu points to the mean at age 54.549. An arrow labeled minus 1 sigma points to one standard deviation below the mean at age 48.473. An arrow labeled plus one sigma points to one standard deviation above the mean at age 60.845.

Check Your Understanding

In a perfect normal distribution, 68.26% of the data should fall within one standard deviation of the mean. The presidential ages are an approximately normal distribution, so you should have arrived at approximately 68.26% in your last answer.

Below is a normal curve, showing the distribution of the data. The curve is a function showing the frequency of the data values with respect to its distribution.

The same bar graph.  A curve is drawn above the bars of the bar graph showing the trend of the graphs. The curve starts at point 36, 0.5 and rises to the maximum point 56, 9 and then decreases to 76, 0.5. An arrow labeled mu points to the mean at age 54.549. An arrow labeled minus 1 sigma points to one standard deviation below the mean at age 48.473. An arrow labeled plus one sigma points to one standard deviation above the mean at age 60.845.

 

The 0 marks where the mean, μ, is. As you can see, in the population percentage, 68.26% of the data will fall within one standard deviation of the mean (μ ± 1sigma), 95.44% of the data will fall within two standard deviations of the mean (μ ± 2sigma), and 99.74% of the data will fall within three standard deviations of the mean (μ ± 3sigma). This is commonly referred to as the 68-95-99.7 Rule or the Empirical Rule.

 

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