Project Description - Statistics 431 (formerly Stat 401)

Find a research-type data set and analyze the data using methods that are covered in our course. You may use any of the methods we discuss in class. Your report is due in two parts. Most of the first three sections of the project are due by the fifteenth lecture, while the final report is due by the end of the course. Your final report, which should be approximately 10 typed, double-spaced pages in length (plus an Appendix with graphs, computer code, and selected computer printouts not to exceed 15 pages), will describe your analyses and should include the following five sections:

I. The context of the study (no more than 2 pages).

II. Define the design of the study.

  1. Defend the choice of the blocking variable(s) and the levels used in your experiment. If you don't use a blocking variable, defend why not.
  2. Define the treatment factor(s), whether they are fixed or random, and the levels. Defend why they are used in your experiment.

III. Describe the population from which the subjects will be selected. Describe the sampling procedure and the random allocation of subjects to treatments.

These first three sections (I, II, and III, listed above, except for parts 1 and 2 under II) are due on the fifteenth lecture.

IV. Describe the analysis, and analyze the data.

  1. Lay out the appropriate ANOVA Table through the expected mean squares.
  2. Discuss any uses of post hoc comparisons that may be appropriate to your experiment.

V. Discuss the implications of your results for this field, and compare your results to other published results. (Most of this should follow from your results and the background information in part I)

Special thanks to Dr. Bill Mickelson, whose Project Description I have borrowed and adapted to make this Project Description.