Sampling and Data Collection Plan
Twanna Perkins
QNT 561 Business Research & Statistics
August 24, 2015
Professor Dr. Luis R. Mora
Sampling and Data Collection Plan
Introduction
This paper outlines the sampling and data collection procedure. The sampling will be used to test the null hypothesis against the alternate hypothesis:
H0: Implementing Total Quality Management (TQM) will not increase product quality.
HA: Implementing Total Quality Management (TQM) will increase product quality.
A good qualitative study can help us “understand a situation that would otherwise be enigmatic or confusing” (Eisner, 1991, p. 58).
Research Question
Quality can be achieved many ways and to any company worth their grain in salt will strive to continually improve on quality. PhoenixSolar is no exception to that rule. Recent reports have shown that production is slipping in terms of quality resulting in defects in the solar panels. The defective panels that are installed for customers are causing a flurry of complaints. In an effort to reduce defects and customer complaints, PhoenixSolar will implement a Total Quality Management system to resolve this issue. The basis of our study is to determine whether or not implementing a Total Quality Management (TQM) system will not only result in an increase in the quality of PhoenixSolar’s products, but also decrease defects and raise customer satisfaction levels.
Target Population and Reasoning
In order to gather the information needed to either reject or accept our hypothesis, we need to identify a target population to pull from. For this study, the target population will be from those with the most hands-on experience and knowledge of the defects. This would include front line production workers, floor managers, production engineers, safety technicians, packaging agents, installation technicians as well as the actual customers.
Each group would have some level of insight to possible defects of the solar...