Final answer:
A Bar chart (Choice B) is the best option for data with distinct categories and independent measurements, as it effectively compares different categories and shows numerical values or percentages per category.
Step-by-step explanation:
When working with applications to generate graphical reports for data that has distinct categories and independent measurements, the type of chart that would be best to use is a Bar chart (Choice B). Bar charts are incredibly versatile and useful for comparing distinct categories. Each bar represents a category with its length or height showing the numerical value or percent of individuals in that category. This type of chart is excellent for displaying and comparing quantitative data across different categories.
On the other hand, pie charts are most effective when you want to show parts of a whole and are dealing with proportional data. Line charts are better suited for continuous data, showing trends over time. Lastly, a scatter plot is ideal for showing the relationship between two different sets of data, typically to determine if there is a correlation present.