When comparing two data sets, it's common to start with their means or averages. However, the mean only tells part of the story. You need to consider the standard deviation to understand the data ...

If you're comparing survey results from two different populations and one set has a much larger standard deviation, it could mean that the responses are less consistent and perhaps less reliable.

Comparing data sets using statistics Standard deviation. Data sets can be compared using averages, ... The mean and standard deviation of a group of men were found to be 60 and 5.5 respectively.

Standard deviation is a measure of the spread of data around the mean value. It is used in comparisons of consistency between different data sets. Two formulae can be used to calculate this.

Most succinctly put, standard deviation is about where the data are clustered in one sample data, while SEM is where the means would be clustered around many samples taken of a given set of things ...

Compare variance versus standard deviation and calculate each. Skip to content. News Markets ... Both measure the variability of figures within a data set using the mean of a certain group of numbers.