Stanley Exp22 Excel Ch03 Ml2 Grade Book Course

Stanley Exp22 Excel Ch03 Ml2 Gradesxlsxgradesgrade Bookcourseacc 200

As Dr. Dae Jeong’s teaching assistant, you maintain their gradebook for the ACC 200 Financial Accounting class. Dr. Jeong wants you to create a pie chart that shows the percentage of students who earn each letter grade. You will also create a bar chart to show a sample of the students’ test scores. Furthermore, Dr. Jeong wants to see if a correlation exists between attendance and students’ final grades; therefore, you will create a scatter chart depicting each student’s percentage of attendance with their respective final grade average.

Paper For Above instruction

The management of student grades is a critical aspect of academic administration, requiring accurate data visualization to enhance understanding of class performance and identify potential correlations between different variables. In this paper, we explore the process of creating visual representations of student grades using Microsoft Excel, focusing on three key chart types: pie charts, bar charts, and scatter plots, each serving a specific analytical purpose.

First, constructing a pie chart to illustrate the distribution of final letter grades offers instant visual insight into the overall performance of the class. Using data from the gradebook, the chart should depict the percentage of students earning each grade from A through F. To achieve this, the data must be organized to reflect the number of students in each grade category. In Excel, select the appropriate data range—specifically the final grade distribution figures—and insert a pie chart via the Insert tab. Choosing the "Pie Chart" option, the chart should be moved to a dedicated sheet titled "Distribution" for clarity. Customization enhances its communicative value: applying a predefined style (Style 12), adding a descriptive title ("ACC 200 Final Grades: Fall 2024"), and emphasizing specific slices (for example, exploding the A grade slice by 7%) can highlight key data points. Editing the fill color of F grade slices to dark red improves visual association, while removing the legend declutters the graph. Accessibility considerations entail adding Alt Text such as "Most students earned B and C grades."

Data labels are essential for conveying exact percentages and category names directly on the pie slices. Positioning these labels inside the end of each segment, displaying only the percentage and category name, and setting the font size to 18-point with black text, ensures clarity and readability.

Second, a bar chart depicting student test scores provides a comparative view of individual performance. Data ranges A5:D5 and A18:D23 on the grade worksheet should be selected and used to create a clustered bar chart. The chart must be titled "Sample Student Test Scores" and placed on its sheet called "Sample Scores." Customizations include applying Style 5 for visual appeal, positioning the legend on the right side with 11-point font, and filling the plot area with a Light Gradient - Accent 2 color to enhance aesthetics. Adding data labels outside the end of each bar helps in quickly reading scores, with the Final Exam data series formatted with a blue-gray fill (Text 2). The category axis, displaying student names, should be in alphabetical order; therefore, the axis is formatted to show categories in ascending order, with font size increased to 12 for better visibility. Including Alt Text such as "Quinn earned the highest scores on all tests" enhances accessibility.

Third, analyzing the relationship between attendance and final grades involves creating a scatter chart. Selecting range E5:F31 from the worksheet, a scatter plot is generated and then moved to cell A42, resized to a height of 5.96 inches and width of 5.5 inches. The chart is titled "Final Average-Attendance Relationship" with bolded text. Horizontal (percentage of attendance) and vertical (student final averages) axes are labeled accordingly. The axes are customized with bounds set from 40 to 100 and appropriate intervals, with the vertical axis notably starting at 40 to better visualize the data trend. The plot area is filled with a Parchment texture to make the chart more visually appealing. A linear trendline is inserted to identify potential correlations.

To further analyze individual performance trends, sparklines—miniature charts—are added in range H5:H31, using data from ranges B6:D31, with vertical axis minimum and maximum values set identically for consistency. Adjusting row height to 22 improves the readability of sparklines, which serve as quick visual summaries of each student’s performance across multiple assessments.

In conclusion, visual data representations in Excel facilitate a comprehensive understanding of student performance distributions, individual test scores, and potential correlations between attendance and academic achievement. These charts—pie, bar, scatter, and sparklines—are invaluable tools for educators and administrators aiming to make data-driven decisions that enhance educational outcomes.

References

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• Microsoft Corporation. (2022). Create a Pie Chart. Office Support. https://support.microsoft.com/en-us/excel
• Microsoft Corporation. (2022). Create a Bar Chart. Office Support. https://support.microsoft.com/en-us/excel
• Microsoft Corporation. (2022). Create a Scatter Chart. Office Support. https://support.microsoft.com/en-us/excel
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