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Answer :
Final answer:
The Empirical Rule and standard deviations are used to estimate the percentage of data points between two values in a normally distributed data set.
Explanation:
The Empirical Rule, also known as the 68-95-99.7 rule, states that for a normally distributed data set, approximately 68% of the data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard deviations.
In this case, the mean is -100 and the standard deviation is 15. To find the percent of data points between 7 and 115, we first need to find the number of standard deviations away these values are from the mean. For 7, we calculate (7 - (-100)) / 15 = 107 / 15 ≈ 7.13 standard deviations below the mean. For 115, we calculate (115 - (-100)) / 15 = 215 / 15 ≈ 14.33 standard deviations below the mean.
Since the data set is normally distributed, we can use the Empirical Rule to estimate the percentage of data points between 7 and 115. Since 7 is more than 3 standard deviations below the mean, we can assume that it falls within the 0.15% (0.15% * 2 = 0.30%) of data that is less than 3 standard deviations below the mean. Similarly, since 115 is less than 3 standard deviations below the mean, we can assume that it falls within the 0.30% (0.30% * 2 = 0.60%) of data that is less than 3 standard deviations below the mean. Therefore, the percent of data points between 7 and 115 is approximately 99.70% - 0.60% = 99.10%.
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