![]() ![]() 95 of the data lies between 2 SD, or between 70 and 130 Approx. 99.7 of the data lies between 3 SD, or between 55 and 145 Approx. An estimated 97.7% of the data within the set is positioned within three standard deviations of the mean i.e., 99.7% lies within the range. Mean, M Standard Deviation, SD Results Approx.An estimated 95% of the data within the set is positioned within two standard deviations of the mean i.e., 95% lies within the range.An estimated 68% of the data within the set is positioned within one standard deviation of the mean i.e., 68% lies within the range.According to this rule, if the population of a given data set follows a normal, bell-shaped distribution in terms of the population mean (M) and standard deviation (SD), then the following is true of the data: The Empirical Rule, which is also known as the three-sigma rule or the 68-95-99.7 rule, represents a high-level guide that can be used to estimate the proportion of a normal distribution that can be found within 1, 2, or 3 standard deviations of the mean. Simply enter the mean (M) and standard deviation (SD), and click on the "Calculate" button to generate the statistics. ![]() ![]() This empirical rule calculator can be employed to calculate the share of values that fall within a specified number of standard deviations from the mean.
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