Business Research Methods, Part III
The members of Learning Team A will focus the content of this paper on the statistical analysis for success or demise of the future of General Motors (GM) as the study pertains to the potential of hydrogen used vehicles within the corporation’s fleet. This paper will showcase the probable difficulties to the validation and reliability to the research question that includes the data and support analysis outlining the steps required to reduce the challenges and provide an acceptable solution to the company’s success with the automotive industry. Learning team A will present clear and understandable data to identify and classify the findings in order of power to increase sales and successful strategies for GM’s integration of hydrogen used vehicles within the fleet.
As with numbers, once these data are collected they need to be analyzed systematically and objectively in order to yield meaningful information for the program evaluation. The data can be analyzed using a variety of different data analysis (statistical) procedures (Boulmetis & Dutwin, 2005).
The four questions surveyed include:
Prior to making a decision to purchase a vehicle, was fuel efficiency important to you? Yes / No
Prior to making the decision to purchase a vehicle, could you name three next-generation vehicles?
Does vehicle size, speed, or design contribute more to your purchase design versus fuel economy?
When you think of next-generation vehicles, do you think of GM? Yes / No. If not, what automobile manufacturer do you think of? (Example: Toyota or Honda)
Questions Yes/No Yes/No Yes/No Automobile Manufacturer
Prior to making a decision to purchase a vehicle, was fuel efficiency important to you? (Yes/No) 50 No
Prior to making the decision to purchase a vehicle, could you name three next-generation vehicles? (Yes/No) 23 No
Does vehicle size, speed, or design contribute more to...