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It's easier to show if you have a graph of all your data. Basically a standard deviation will show the values about a mean. For example just say your mean is 25 and your standard deviation is 7, then values +/- 7 of 25 will be considered reliable results.So anything from within the range of 18 to 32 is considered reliable.The smaller your standard deviation with the most values within range, the better.t's easier to show if you have a graph of all your data. Basically a standard deviation will show the values about a mean. For example just say your mean is 25 and your standard deviation is 7, then values +/- 7 of 25 will be considered reliable results.
The standard deviation calculation tells you how spread out the numbers are in your sample. To figure this out for your sample or data set, you will need to perform a few calculations first. You will need to find the mean and variance of your data before you can find the standard deviation. Variance is a measure of how far your data is clustered around the mean. Standard deviation is found by taking the square root of the variance of your sample. This article will show you how to find the mean, variance, and standard deviation.