What does a small standard deviation indicate about a set of data?

A small standard deviation indicates that the data points in a set are closely clustered around the mean, showing lower variability. This close grouping suggests that the values do not differ significantly from the average. As a result, it also implies greater consistency in the data, meaning that repeated measurements or observations are likely to yield similar results. Therefore, when standard deviation is small, one can also infer more reliability in any conclusions drawn from the data, as the lower spread indicates predictability and precision in the measurements taken. Understanding this concept is crucial in fields such as biology where accurate data interpretation can influence research outcomes and conclusions.