Applying Anova and Nonparametric Tests Simulation

Applying ANOVA and Nonparametric Tests Simulation

Kristi Jones

RES/342

August 15, 2011

Steven Gady

Applying ANOVA and Nonparametric Tests

In the University of Phoenix simulation (n.d.), Praxidike Systems is a software company that builds and supplies software solutions to an extensive range of customers. One of the company’s goals is to implement quality programs and projects through continuous process improvements. These processes include monitoring and measuring factors such as employee productivity, schedule variance, and customer satisfaction. The University of Phoenix simulation allows one to analyze descriptive statistics, check ANOVA and nonparametric test assumptions, and decide which test to use for analysis as well as make suggestions for improvements (University of Phoenix, n.d.). Applying ANOVA and Nonparametric Tests will be used to monitor two issues of Praxidike Systems: on-time delivery of projects and customer satisfaction.

Problem Statement

Praxidike Systems typically produces projects within four months. Each project is completed by a team of project managers, system architects, software engineers, and testers. Recently there has been a delay in at least one out of every 10 projects, thus the company has not been delivering projects on time to their clients. What could be the actual cause of variation and reason for this delay? Is it likely that the productivity of the software engineers has declined? Throughout performing the simulation, there are many variables and factors of situations, which will be analyzed and tested to determine the cause for the delay and suggest improvements (University of Phoenix, n.d.).

Issues Present in Company, Specific Metrics, Statistical Analysis Used to Evaluate Each Situation

During the first month of being appointed as Quality Assurance Manager, I was given data that pertained to the competency of a group of software engineers. The data and groups were separated into three levels of competency:...