the standard deviation of sample means, is called the standard error. The standard deviation of this distribution, i.e. If you take enough samples from a population, the means will be arranged into a distribution around the true population mean. Because of this, you are likely to end up with slightly different sets of values with slightly different means each time. When you are conducting research, you often only collect data of a small sample of the whole population. Divide the sum by the number of values in the data set.For each value, find the square of this distance.For each value, find its distance to the mean.The steps in calculating the standard deviation are as follows: It can, however, be done using the formula below, where x represents a value in a data set, μ represents the mean of the data set and N represents the number of values in the data set. Standard deviation is rarely calculated by hand.

In any distribution, about 95% of values will be within 2 standard deviations of the mean. It is a measure of how far each observed value is from the mean.

Standard deviation tells you how spread out the data is.

Standard error