STAT 514 Project

This project will allow you to use what you learn in this course to design an experiment and analyze the experimental data. You may design a new experiment or use an experiment that you participated in the design and collection of data. You may also use data for which you did not participate in the design of the experiments. In that case, you must have a note from the data owner to certify that the analysis of the data has not been published and you shall know their experiment sufficiently well to answer questions for this project.

You shall work in a group of 4-5 people. Group of size smaller or larger than that is not acceptable without instructor’s permission. For students in the online sessions, the group size could be 3-5.

Timeline

  • September 27, the first group report due. Include names of group member and describe the objectives of the experiment. Include as much as you can what kind of design you plan to have.

  • October 27 (Extended to Nov 4), the second group report due. You shall clearly describe the kind of experiment your group designs and the statistical models and analysis to be employed. Describe responsibilities of each group member and how the group will work together.

  • December 9, the final group project due. The final group report should be clearly written and contain no more than 5 pages not including the appendices. There is no limit on appendices. Please make proper reference to the appendices. The final group report on the project should include:

    • Objectives of the experiment.

    • The design of the experiment, which should clearly specify the treatment factors and their levels, blocking factors (if any), experimental units, and assignments of experimental units to the treatments.

    • Specifying the measurements to be made, the experimental procedure.

    • The statistical model and analyses appropriate for your objectives in 1.

    • Discussion on whether model assumptions are valid, and whether transformation on data is necessary. Discussion on the number of observations that need to be taken.

    • Conclusions.

    • Appendices of experimental data and computer programs, or other supporting materials.

Projects are graded based on novelty, appropriateness of design, appropriateness and completeness of analysis and writing quality.