A professor records scores from a five-point quiz for each student in an introductory psychology class. If the data were presented in a frequency distribution graph, what type of graph should be used?
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To determine the appropriate type of graph for presenting the data in a frequency distribution graph, we need to understand the nature of the data. In this case, the professor records scores from a five-point quiz for each student.
Since the scores are discrete and fall within a limited range (in this case, 1 to 5), a suitable graph to represent this data would be a bar graph.
A bar graph is a visual representation of categorical data that uses rectangular bars to represent each category present. In this case, the categories would be the different score values (1, 2, 3, 4, and 5), and the height of each bar would represent the frequency or count of students who received that particular score.
To create a bar graph for this frequency distribution, you can follow these steps:
1. Identify the different score values (1, 2, 3, 4, and 5) as the categories for your graph.
2. Count the number of students who received each score value.
3. Create a horizontal or vertical axis to represent the frequency of each score value.
4. Plot a rectangular bar for each score value, with the height of the bar corresponding to the frequency.
5. Label the axes, provide a title for the graph, and include any other necessary elements (e.g., legend or key) to make the graph clear and informative.
By following these steps, you will be able to create an appropriate bar graph as a frequency distribution graph for the given quiz scores.