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Project Submission Guidelines

  1. Each submission should contain the following items. For example, your submission for Project 1 should contain the following (replace Stanley Smith by your first and last name):
    1. A word file containing the answers with relevant output or graphs: e.g, proj1SmithStanley.docx. PDF files are okay also to submit your answers, relevant output, and graphs.
    2. The SAS or R source code files, as text files: e.g., proj1SmithStanleySas.txt
    3. Output from the SAS or R, as a text files: e.g., proj1SmithStanleyOut.txt
    4. All data files that you used: paper1.txt, paper2.txt.

    Maximum 10 point deduction for submissions that do not conform to the specifications in this document.
  2. The files in items a-d should be submitted in a zip file:
  3. All questions require typed discussion, together with relevant SAS or R output and/or graphs for a proper answer in proj1SmithStanley.docx. For full credit, do not just answer yes or no to a question, give a complete explanation. A question with only "yes" or "no" for an answer will only receive about 15% credit even if it is correct. SAS or R output shown in your Word document should be displayed in a fixed width font like Lucida Console, Courier New, or SAS Monospace.
  4. If you are asked to provide hand calculations, you can literally write the calculations on paper by hand and scan them in to your document. You can also type the hand calculations into your Word file or show your the calculations in Excel or R. It is more difficult, but you can also show your hand calculations in SAS if you look up the necessary functions.
  5. Your answers in proj1SmithStanley.docx must be self-contained. The SAS or R source code and output files are for reference only. The grader should not have to look outside of proj1SmithStanley.docx to grade your project.
  6. A correctly named zip file: Wrong:,,,,, proj 1 Obama,
  7. If you have a Chinese name, show your family name first, then your personal name. Right: Wrong:,
  8. Place all of the files your project into a folder and zip the folder. That way, when the project is unzipped, the files will already be in a folder.
  9. If you are using SAS, use page titles and create labels for each variable.  If you are using R, add cat statements to explain your output.