What term refers to the extent to which data varies across all values in a dataset?

The term that refers to the extent to which data varies across all values in a dataset is known as variability. Variability measures how much the data points in a dataset differ from each other. It provides insight into the distribution of the data, allowing insights into whether the data points cluster closely together or are spread out over a wide range.

Variability encompasses several statistical concepts, including range, standard deviation, and variance, but it is a broader term that describes the overall dispersion of data. By understanding variability, practitioners can assess the reliability of their data and interpret results accurately, which is crucial for making informed decisions based on that data.

The mean represents the average value of a dataset, which does not directly convey information about how values differ from one another. The range indicates the difference between the highest and lowest values in a dataset, offering a limited view of variability. Standard deviation is a specific measure of variability that quantifies the amount of variation or dispersion in a set of values; however, it is just one aspect of the broader concept of variability.