This case study will grant you the opportunity to utilize your critical thinking and data analysis skills. In business, surveys are often a common way to gauge consumer sentiment. In the pro

This case study will grant you the opportunity to utilize your critical thinking and data analysis skills. In business, surveys are often a common way to gauge consumer sentiment. In the provided data set, you will analyze Excel data gathered from a customer satisfaction survey for those who completed a rebate program. You will analyze the data collected using the Excel skills that we have been cultivating in our course.

Instructions:

1. Open the Excel file Case Study.xlsx Download Case Study.xlsx.
2. Calculate the frequencies for all the respondents for each question (column B to N).
   1. For categorical data, use the countif or filter function compute (i.e. gender, marital status, etc).
3. Create a separate chart demonstrating the survey responses for each question (Column B to N). Sample charts may include pie charts, bar charts, column charts, and line charts.
4. For the age question (Column D), compute the average, minimum, and maximum ages of respondents.
5. For column I, the likelihood to recommend the program to a friend, compute the average, median, minimum, and maximum values for customer rankings for respondents.
6. For column J, the likelihood to participate in another rebate program, compute the average, median, minimum, and maximum values for customer rankings for respondents.
7. For column K, the likelihood of purchase without the rebate program, compute the average, median, minimum, and maximum values for customer rankings for respondents.
8. Provide a detailed report in Microsoft PowerPoint or Microsoft Word enumerating your findings. Your analysis must contain the below details:
   1. Identify in your report appropriate charts and graphs showing the results.

• What conclusions can you draw from the existing rebate programs? (Example: Do you find any similarity in age groups or their educational background making any significant impact on their rebate usage?)
  1. How can the programs improve? (Is there a group that doesn’t show much interest in the program? Can you think of a way to grab their attention?)
  2. What recommendations do you have for the company offering rebates?

You should target this report to be around ten to twelve pages/slides with appropriate graphs. Please make sure that you are succinct in your report.

1. Submit your Excel file with the calculations for 1-7 of the instructions, and your report in PowerPoint or Word on Canvas.
2. Please note that this is an individual effort and is not to be done in teams.

Rubric

1. Frequency calculations (1 pt per question 13 points)
2. Chart per question (13 questions)
3. Age calculations (4 points one point per calculation)
4. Columns I, J, and K calculations (12 points, one per calculation)
5. Report & Discussion (Findings – 30 points, Recommendations – 38 points) (68 points)

Total Points: 110