1. The problem asks which type of graph is most appropriate to visualize how many students scored below 60% in a test. 2. Let's analyze each option: - A. Histogram: This graph shows the frequency distribution of data in intervals. It can show how many students fall into score ranges, but it does not directly show cumulative counts below a certain value. - B. Ogive (Cumulative Frequency Curve): This graph shows cumulative frequencies, which means it displays the total number of students scoring up to a certain value. It is ideal for visualizing how many students scored below 60%. - C. Pie Chart: This graph shows proportions of categories but does not show cumulative counts or distributions below a threshold. - D. Scatter Plot: This graph shows relationships between two variables but is not suitable for showing cumulative counts. 3. Therefore, the most appropriate graph to visualize how many students scored below 60% is the Ogive (Cumulative Frequency Curve). Final answer: B. Ogive (Cumulative Frequency Curve)