# Quantitative Analysis Discussion Type Design

Assume that you are a consultant engaged in a project to implement a major high-speed overpass extension to the most congested highway, linking rural provinces to a major Asian city of 12 million people. A major feature of this project is to implement an electronic toll collection system for this high-speed segment. The objective of the entire project was not just to relieve congestion, lower the cost of operating vehicles, and improve the quality of transport services. It was also initiated to help address the loss of revenue resulting from an antiquated and corruption-ridden system of manual toll collection.

You helped implement the toll collection system and returned three years later to evaluate the effectiveness of the program. Data on toll collections and traffic volumes are available on a day-to-day basis. For this Discussion, review this week’s Learning Resources and examine the effectiveness of the project.

Post by Day 3 an explanation of how you would analyze data for this type of project. Include in your explanation the type of design and analysis you might use to address the problem.

Respond by Day 5 to two colleagues in the following way:

• Suggest another type of data your colleague might find useful and other techniques of analysis he or she might employ. Provide a rationale for your suggestions.
• Techniques of Data Analysis(Assignment)
• You have now reached the point in your Final
Project where you can begin to think about the methods you will employ to
examine your data. A useful approach is often to visualize how your data might
look in matrix form. Your choice of analysis techniques will depend on the type
of data you have collected, as well as your evaluation design: whether you are
using an experimental, a quasi experimental, or nonexperimental design.
Evaluators also use tools such as significance tests to support or reject claims
based on the sample data. Further, multivariate analysis techniques, like
regression, are often utilized to take into account more than one statistical
outcome variable at a time.

To prepare for this Assignment, consider
techniques of data analysis you have encountered in your course work and
professional experience.

Submit by Day 7 a 1- to 2-page paper that addresses the
following:

·
Explain whether you
will be using significance tests or multivariate techniques such as regression