FPGEE for National Association of Boards of Pharmacy (NABP) Practice Exam 2026 - Free NABP Practice Questions and Study Guide

In a normal distribution, most data points cluster around the mean because the characteristics of a normal distribution are defined by its symmetrical bell-shaped curve, where the highest frequency of data points is found at the center of the distribution. The mean serves as the measure of central tendency and is located at this peak.

In a perfectly normal distribution, the mean, median, and mode are all equivalent; however, the question specifically highlights the clustering of data points, which is inherently associated with the mean. This central tendency draws most observations close to this value, resulting in fewer occurrences as you move away from it in either direction.

Other terms, such as the median and mode, also relate to measures of central tendency but do not provide the same comprehensive perspective on where the majority of data points lie in a normal distribution. The range, on the other hand, reflects the spread of the data rather than where most data points are found, making it irrelevant to the clustering aspect in this context.