Select the best graph:
1. What data display would best list the frequency of the number of students that received an 85% on test?
To select the best graph for displaying the frequency of the number of students that received an 85% on a test, you would typically use a histogram or a bar graph.
Here's a step-by-step guide on how to choose the most suitable graph:
1. Identify the type of data: In this case, you are dealing with categorical data (85% on the test) and frequency data (number of students).
2. Consider the purpose: Determine why you want to display this data. Are you looking to compare the number of students who scored 85% with other score ranges or analyze any patterns in the scores? Understanding the goal will help you choose the appropriate graph.
3. Assess the options:
- Histogram: A histogram is a good choice when you want to visualize the distribution of continuous or discrete data. It consists of bars that represent the frequency or count of data points falling within each range or bin. In this case, each bar would represent a score range (e.g., 80-89, 90-99), and the height of the bar would denote the frequency (number of students) who received an 85% within that range. Histograms are useful for showing the shape of the distribution and any concentration or clustering of data points.
- Bar graph: A bar graph is suitable for comparing discrete categories. It uses rectangular bars to represent each category, and the height of each bar corresponds to its frequency or count. In this case, you would have a single category (85%) and the height of the bar would directly represent the frequency (number of students) who received that score. Bar graphs are useful for making comparisons between different data categories.
4. Choose the best graph: Depending on the purpose and the data, either a histogram or a bar graph can be used. If you are interested in visualizing the distribution and seeing how the frequency of students getting 85% compares to other score ranges, a histogram would be more appropriate. On the other hand, if you want a clear comparison of the frequency of students getting 85% with other categories (e.g., different test scores or grades), a bar graph would be a better choice.
Remember to label your graph appropriately, including a clear title, labeled axes or categories, and any relevant data source or additional information to provide context.