Prepare for the UCF QMB3200 Quantitative Business Tools II Exam. Study with comprehensive resources and practice multiple choice questions. Be exam-ready!

A Dot Plot is a simple and effective way to visualize the distribution of a dataset. It uses dots to represent individual data points along a number line. Each dot corresponds to a particular data value, and multiple dots can stack up above a value if that value appears numerous times in the dataset. This visual stacking allows for easy interpretation of how many times each unique value occurs, highlighting the frequency of individual data values.

Thus, the number of dots above each data value directly corresponds to the frequency of that specific value in the dataset, making it clear how frequently each data point appears. This characteristic enables viewers to quickly assess both individual values and the overall distribution at a glance.

The other options reference concepts that do not accurately describe a Dot Plot. Class intervals and percentages pertain more to histograms or frequency distributions, and calculating the average relates to summary statistics, which are not the focus of a Dot Plot representation.