A project in the Thailand
A project in the Thailand.
You are the new U.S. project manager of a company getting ready to conduct a project in the Thailand. This paper will summarize the country and address the environmental considerations listed in Larson Ch 15 (Legal/Political, Security, Georgraphy, Economic, Infranstructure, and culture) and explain implications of the considerations toward international project management. Lastly, a Biblical approach to International Project Management is addressed throughout the paper. Paper must be written in 3rd person and in APA format.
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quantitative and qualitative variables
Social Media and Democracy Please make sure you read and understand the Course Project Instructions so you know how and what to submit for each part. The entire project is based on the Family Sedans data found in Chapter 4 (pg. 724) of the textbook. Use data from here, not from the textbook. This data will be used throughout the project.
When trying to decide what car to buy, real value is not necessarily determined by how much you spend on the initial purchase. Instead, cars that are reliable and do not cost much to own often represent the best values. But no matter how reliable or inexpensive a car may cost to own; it must also perform well. To measure value, Consumer Reports developed a statistic referred to as a value score. The value score is based upon five-year owner costs, overall road-test scores, and predicted-reliability ratings. Five-year owner costs are based upon the expenses incurred in the first five years of ownership, including depreciation, fuel, maintenance, and repairs, and so on. Using a national average of 12,000 miles per year, an average cost per mile (Cost/mile) driven is used as the measure of five-year owner costs.Road-test scores are the results of more than 50 tests and evaluations and are based on a 100-point scale, with higher scores indicating better performance, comfort, convenience, and fuel economy. The highest road-test score obtained in the tests conducted by Consumer Reports was a 99 for a Lexus LS 460L. Predicted-reliability ratings (1 = Poor, 2 = Fair, 3 = Good, 4 = Very Good, and 5 = Excellent) are based upon data from Consumer Reports’ Annual Auto Survey.” A car with a value score of 1.0 is “average-value.” A car with a value score of 2.0 is twice as good a value as a car with a value score of 1.0; a car with a value score of .5 is considered half as good as average; and so on.
Part I of the Final Project consists of submitting the following in an Excel spreadsheet:
Part I – Use ExcelIdentify the quantitative and qualitative variables being used with this data. (Qualitative Variable) (Links to an external site.)
Set up a pivot table (refer to Chapter 2 Appendix for how-to) showing the type of car, the Predicted Reliability, and the Value Score.
Make a 2-D column chart, with the value and predicted reliability on the vertical (y) axis and the car on the horizontal (x) axis.
Construct two (2) scatter diagrams with trend lines for (1) Value Score and Price, (2) Price and Cost/Mile. On the two scatter diagrams, the price of the car must be on the Y axis so you can compare these two charts.
Given this data, what statistical question(s) would you ask? How would it help you?
You are in the market to buy a car. What do you surmise from the charts and graphs?
Specifically, what is the relationship indicated between the variables in the column chart?
Specifically, what is the relationship with the trendlines in the two (2) scatter diagrams?
Are we working with a sample or a population? How do you know?
Submit your calculations and charts/graphs via Excel. Written responses can be made in Excel or in a Word document.