In data analysis, which term describes how far data values are spread from the center of the distribution?

In data analysis, which term describes how far data values are spread from the center of the distribution?

• A. Range
• B. Central Tendency
• C. Significant Digits
• D. Prototype

Answer: (A)

Spread describes how far data values are spread around the center of a distribution. The best term here is range, which is the difference between the largest and smallest values and provides a simple measure of how wide the data set extends. It’s easy to compute and gives a quick sense of the overall spread, though it can be influenced by outliers. Central tendency describes where the data cluster around a central value, not how far values spread. Significant digits relate to precision, not dispersion. A prototype isn’t a statistic for data spread.

Spread describes how far data values are spread around the center of a distribution. The best term here is range, which is the difference between the largest and smallest values and provides a simple measure of how wide the data set extends. It’s easy to compute and gives a quick sense of the overall spread, though it can be influenced by outliers. Central tendency describes where the data cluster around a central value, not how far values spread. Significant digits relate to precision, not dispersion. A prototype isn’t a statistic for data spread.