To find 3 standard deviations from a mean, you need to calculate the mean and standard deviation of the data set first. Then, you can calculate the value of 3 standard deviations above and below the mean by adding or subtracting the standard deviation multiplied by 3. For example, if the mean of the data is 10 and the standard deviation is 5, then 3 standard deviations above the mean would be 25 (10 + (5 * 3)) and 3 standard deviations below the mean would be -5 (10 — (5 * 3)).

How much is 3 standard deviations?

The standard deviation is a measure of how spread out numbers are in a data set. It is calculated by taking the square root of the variance. 3 standard deviations is the distance from the mean to the 3rd quartile, which is approximately 1.69 times the standard deviation.

What is 3 std deviations?

3 standard deviations is a measure of how far a data point lies from the mean of a dataset. It is calculated by subtracting the mean from the value of the data point and then multiplying the result by 3. The result gives you the number of standard deviations the data point is from the mean. For example, if a dataset has a mean of 10 and a data point is 20, then the data point is 3 standard deviations away from the mean.