Date Approved


Date Posted


Degree Type

Open Access Thesis

Degree Name

Master of Science (MS)

Department or School

Engineering Technology

Committee Member

Tracy Tillman, PhD, Chair

Committee Member

Robert Chapman, PhD

Committee Member

Hiral Shah


This paper presents the results of a research study related to the Navy and Marine Corps Intranet (NMCI). This study used MANOVA and one-way ANOVA, including post hoc tests, to analyze data sets corresponding to service level agreement metrics for over 300 Navy sites. Within the NMCI network, factors size, server farm, Network Operations Center (NOC), area, region, and group are affecting the performance metrics as defined in the service level agreements (SLA). Each one of the factors is statistically disparate for at least one SLA. Checks for normality indicate nonnormal behavior for most data sets. The results, conclusions, and recommendations have been provided to Navy service level managers to improve the system.

Included in

Engineering Commons