## What is 3 standard deviations below the mean?

The rule of thumb is that 99.7% of the observed data is within 3 standard deviations of the mean based on the normal distribution. Under this rule, 68% of the data is within one standard deviation, 95% is within two standard deviations, and 99.7% is within three standard deviations of the mean.

## What does it mean when the standard deviation is 3?

A standard deviation of 3 inches means that most men (about 68% in a normal distribution) are either 3 inches above or 3 inches below the mean (67-73), one standard deviation. … Three standard deviations include all numbers for 99.7% of the surveyed sample.

## What do 2 standard deviations below mean?

For some tests, the percentile ranks are close, but not exactly where you’d expect. A value that is two standard deviations above the mean is at or near the 98th percentile (PR = 98). A value that is two standard deviations below the mean is at or near the 2nd percentile (PR = 2).

## What is the standard deviation of the mean?

The Z-score, or standard value, is the number of standard deviations a given data point is above or below the mean. A score of 1 indicates that the data is one standard deviation from the mean, while a z-score of 1 places the data one standard deviation below the mean. … 8th

## Can we have more than 3 standard deviations?

The distribution share within 3 standard deviations of the mean can reach 88.9%. It can take more than 18 standard deviations to get to 99.7%. On the other hand, you can get more than 99.7% with much less than one standard deviation.

The empirical rule, also known as the 68-95-99.7 rule, indicates where the majority of the values in a normal distribution are found: Approximately 68 percent of the data falls within one standard deviation of the mean. 95 percent of the data falls within two standard deviations of the mean. Approximately 99.7% of values are within three standard deviations of the mean.

What is the score that is three standard deviations higher than the mean?

With z-scores, on the other hand, you can rapidly compute that each person has an IQ that is three standard deviations above the mean. To put it another way, you can rapidly utilize z-scores to determine that they are roughly equal in intelligence. Exercise 2: Z-scores serve as a common benchmark for comparing various variables.

Conclusion

Approximately 95% of the x values fall between –2 and +2 of the mean (within two standard deviations of the mean). Approximately 99.7% of the x values are between –3 and +3 of the mean (within three standard deviations of the mean). It’s worth noting that nearly every x value is within three standard deviations of the mean. Outliers in the output results are values that are more than +2.5 standard deviations from the mean or less than -2.5 standard deviations from the mean.