To determine the best type of graph for representing the given data, let's first understand what these types of graphs are best used for:
1. Histogram: A histogram is used to represent the distribution of numerical data by showing the frequency of data within certain intervals. It is useful when dealing with continuous data.
2. Ogive graph: An ogive (cumulative frequency graph) is a graph that represents the cumulative frequencies for the classes in a frequency distribution. It is typically used to show how many data points fall below a certain value in a dataset.
3. Line graph: A line graph is used to display data points connected by straight lines, commonly used to show trends over time. This type of graph is appropriate when you have data points that are connected in a sequential order.
4. Bar graph: A bar graph is used to compare quantities of different categories. It is ideal for displaying and comparing the number of items in discrete categories.
Given the provided data:
| Team | Number of cookies sold |
|------|------------------------|
| A | 100 |
| B | 247 |
| C | 530 |
| D | 890 |
We have discrete categories (teams A, B, C, and D) with associated numerical values (the number of cookies each team sold).
We want to compare the quantities sold by each team.
A bar graph will effectively allow us to compare these quantities by providing a clear visual representation of how many cookies each team sold.
Therefore, the best graph to represent the number of cookies sold by each team is:
D. Bar graph
