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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.
A variance or standard deviation of zero indicates that all the values are identical. Variance is the mean of the squares of the deviations (i.e., difference in values from the mean), and the standard deviation is the square root of that variance.Standard deviation is used to identify outliers in the data.iffen âº Science âº Statistics. Standard deviation and variance are statistical measures of dispersion of data, i.e., they represent how much variation there is from the average, or to what extent the values typically deviate from the mean (average) .