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Lincoln Community College: interpret grades, survey

Using the attached data please answer the following questions:
- Review the data, and identify the types of data as quantitative or qualitative.
-Describe what the data indicate, and include the following:
- Descriptive statistics of quantitative data
-Trends identified in the analysis of qualitative data
-Make recommendations for change based on the data analysis.
- Make recommendations for additional data collection to have a clearer picture of the instructional staff.
Please include any references that you may use to answer the questions.

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- Review the data, and identify the types of data as quantitative or qualitative.

There are both quantitative and qualitative data. The grade data, number of withdrawals, and survey scores are quantitative. The student comments are qualitative.

- Descriptive statistics of quantitative data

The grade distributions shows that Instructor C gave 81.8% A's while Instructor B gave 54.5% A's and Instructor A gave 15.2% A's. This is a dramatic difference in percent of students getting top grades and could reflect a number of things. On one hand, it could reflect that Instructor A is more rigorous, giving more difficult work and grading more strictly. On the other hand, it could reflect that Instructor A is difficult to understand, gives poor instructions on assignments, and does not choose learning activities that effectively prepare students for assessments.

In order to get a sense of why grades were so skewed, we can review the survey data. The survey data shows that Instructor A was given relatively high marks, especially compared to Instructor B. Teacher knowing the material of 4.3/5.0 is strong with ...

Solution Summary

Your tutorial is 633 words and gives you interpretations of the grading curve, the survey patterns and the trends in the student comments. Recommendations for further data are included as well as potential feedback for each instructor.

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