Date of Last Revision

2023-05-02 20:16:30



Degree Name

Bachelor of Science

Date of Expected Graduation

Summer 2016


The Black Cloud Randomization Test looks at a nontraditional question and attempts to answer the question using unique statistics. The purpose of this paper is to apply what has been learned throughout the years and apply this knowledge to a final project. Data for this project follows an emergency room’s on call schedule, as well as the number of traumas that came in during each day shift. The project builds on what has been already learned and helps to open a different way of working with statistics. The project was coded in the R software. With different restrictions, there are attempts to balance the strict definition of a permutation test with the practicality of the dataset involved. Looking at a rather large dataset for a traditional permutation test, the randomization test still nears the strength of the original test. Discussion is open to the accuracy and validity of the modified test.

Research Sponsor

Dr. Richard Einsporn

First Reader

Dr. Mark Fridline

Second Reader

Dr. Jun Ye



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