describe the data set that you plan on using, including the variables measured and how many observations

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

 In this project, I am asking you to summarize your project using BOTH a written paper and an oral presentation.  Why both??  Because in the "real world" it is important to have outstanding written and oral communication skills.  Both skill sets are necessary to communicate Analytical results in your careers, especially to senior management.  I will be judging you on your communication effectiveness as well as the technical R commands you develop in the analysis.

Project proposal

You should HAND IN A PROJECT PROPOSAL by the proposal due date. The proposal is a page or so describing what you plan to do. Be as specific as possible, describing what data source you’re using, what questions/objectives you want to investigate with this data, what R package might help with the visualization or analysis, and generally how you plan to answer these questions. I will return the proposals to you with comments.  The more detailed your proposal, the better feedback you get!  Your proposal should address the following questions:

·  What is the topic of your project?

·  What is the data source?

·  What are the main issues or problems you plan to address?

·  What R package(s) might you try using?

·   What are your plans for obtaining background information (if needed) about your project?

·   Describe the data set that you plan on using, including the variables measured and how many observations.

·         What questions and/or concerns do you have about your project?

The project proposal is not graded.  It exists primarily for you to get feedback on your project idea.

 Project grading guidelines

As I am grading, I will be looking for the following characteristics:

1. Consistency:  Did you answer your question of interest?  Did you synthesize several R programming techniques learned in this course to describe, visualize, and analyze the data? Did you use at least one R package to do so?

2.       Clarity:          Is it easy for your reader to understand what you did how it was implemented in R?

3.       Relevancy:     Did you use statistical techniques and R programming skills wisely to address your question?

4.       Interest:         Did you tackle a challenging, interesting question (good), or did you just perform basic descriptive statistics (bad)?

Some suggestions for scoring high on these criteria, and suggestions you should keep in mind whenever you write anything, are the following:

Guidelines for making an effective paper or presentation

An effective written analysis paper or oral presentation communicates your project in a clear and concise fashion.  The paper and presentation should address the following six points:

1. Statement of the topic/problem: Describe the questions you address and any key issues surrounding the questions.

2. Data Description: Explain the data set to the reader/listener. Describe the types of variables and data structure.  Provide graphs, plots, and descriptive statistics so that the reader gets a good ‘feel’ for the data set.

3. Analyses: Describe the analyses you did.  Explain why you believe these methods are justified and how they answer the objectives of the analysis.

4. Results: Present the results of relevant descriptive statistics, statistical analysis, and data mining techniques. Include tables or graphs that support your analyses (be judicious here--too many tables and graphs hurts the clarity of your message).

5. Conclusions: Answer your question(s) of interest.

 

6.   Discussion: What implications do your results have for the population in which the data came from?  What could be done to improve the study if it was done again? What types of biases might exist?

Attachments:

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