1. Cluster the survey respondents into groups using an hierarchical approach on these 9 variables: Lodge, Tabin, Tent, Days3, Days6, Days12, PriceLow, PriceMed, PriceHi.
a. You may use any statistical software package that you know and are comfortable using. It is recommended that you use RStudio. It is useful for you to have exposure to R and RStudio before collecting your MBA. In this document you will find instructions and all the commands you'll need to type.
b. Note: I'm expecting to see a 5-group solution. It is OK if you come up with a different number if you can defend it.
c. Study the output and give each group a name. Hints: make one table of the 9 cluster variables by the 5 groups. In the cells put average scores, e.g. maybe group 1 chooses tent 53% of the time. Make a second table indexing to the overall average, e.g. in the whole data set tent is chosen 26%, then 53/26 is an index of 2.00. If group 1 really likes tent camping, and long duration trips, and is willing to pay a lot, you might call them "Wild Women." Name all the groups.
2. Need a PowerPoint report. Headlines on each page should be take-aways or implications. Include these sections
a. Overall insights & Recommendations
i. Your advice to Girl Scouts of Colorado for achieving the goal of maximizing camp enrollment. Should they create programs for all groups or only some?
ii. What share of survey takers belong to each group? Make a pie or stacked bar chart, using your group names. Consider a heat map. Aim for visual impact.
iii. How do the groups compare to each other on the 6 drivers? Make a spider or radar chart.
b. Profile each group per group
i. What lodging, duration, and price are most favored by this group?
ii. Are they more or less likely to have been to camp vs the total sample?
iii. Any geo skews vs the total sample?
iv. Any age skews vs the total sample?
v. What are the most important factors when choosing which camp to attend?
vi. Which are the top-ranking activities?
Hint: use any software you like to do the math to answer these questions. Historically, many students do most of the math in Excel.
c. Appendix
i. Describe the analysis method. What software did you use? If r, give your code, and/or a few screen shots. Include the dendrogram and scree plot, screen shots OK.
Please find the data file
Dear Researcher
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Regards!
Dr Sajed Ali, PhD
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Regards
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DATA ANALYSIS EXPERT
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