Date of Award

8-2015

Culminating Project Type

Thesis

Degree Name

Applied Statistics: M.S.

Department

Department of Mathematics and Statistics

College

College of Science and Engineering

First Advisor

David Robinson

Second Advisor

Shiju Zhang

Third Advisor

Mario Hesse

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

This Master’s thesis examines booking data from the Stearns County Jail covering the period of January 1, 2003, to January 31, 2015. The examination of the data will make use of Microsoft Excel, JMP, and SAS. The analysis will focus on recidivism, where recidivism is defined as being re-booked into the Stearns County Jail. The analysis will show a lognormal distribution best approximates the process at work behind the recidivism of those individuals going through multiple bookings in the Stearns County Jail. Differing recidivism for males and females are also revealed by the application of survival analysis, and gender is used as an explanatory variable in the lognormal distribution used as a model.

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