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

A histogram is a type of graphical representation specifically designed to display the frequency distribution of a dataset. It organizes data into bins or intervals, allowing you to see how many data points fall into each range. This visual representation makes it easy to identify patterns such as skewness, modality (uni-modal, bi-modal), and the overall shape of the distribution. Histograms effectively convey information about the distribution's central tendency, variability, and the presence of outliers.

The other options do not accurately capture the core purpose of a histogram. For example, a total count of datasets is more of a basic statistical description than a histogram's function. Similarly, comparing qualitative data typically involves other graphical methods like bar charts. Finally, while summaries of data can be provided numerically or through tables, a histogram specifically serves to represent that information visually, making option B the most accurate choice regarding what a histogram provides.