A sample's

**standard deviation**that is of greater magnitude**than**its**mean**can indicate different things depending on the data you're examining. A smaller**standard deviation**indicates that more of the data is clustered about the**mean**. A**larger**one indicates the data are more spread out.People also ask, what does mean and standard deviation mean?

A low

**standard deviation**indicates that the data points tend to be close to the**mean**(also called the expected value) of the set, while a high**standard deviation**indicates that the data points**are**spread out over a wider range of values.What does the mean tell you?

In statistics, that single value is called the central tendency and

**mean**, median and mode are all ways to describe it. To find the**mean**, add up the values in the data set and then divide by the number of values that you added. To find the mode, identify which value in the data set occurs most often.What does variance and standard deviation tell you?

The

**variance**and the closely-related**standard deviation**are measures of how spread out a distribution is. In other words, they are measures of variability. The**variance**is computed as the average squared**deviation**of each number from its mean. (where M is the mean of the sample) can be used.