# University of phoenix material case study: mba schools in

University of Phoenix Material

Case Study: MBA Schools in Asia-Pacific

QNT/561 Version 9

The pursuit of a higher education degree in business is now international. A survey shows more and more Asians choose the master of business administration (MBA) degree route to corporate success. As a result, the number of applicants for MBA courses at Asia-Pacific schools continues to increase.

Across the region, thousands of Asians show an increasing willingness to temporarily shelve their careers and spend two years in pursuit of a theoretical business qualification. Courses in these schools are notoriously tough and include statistics, economics, banking, marketing, behavioral sciences, labor relations, decision making, strategic thinking, business law, and more.

After your MBA, you get a job at Bloomberg in its media division, Bloomberg Business. Your division publishes reviews and rankings for business schools in the US and internationally. Because of your strong analytical education from University of Phoenix, your boss assigns you to work on preparing an analysis for data gathered for leading business schools in the Asia-Pacific. The data set in the Excel® file shows some of the characteristics of the leading Asia-Pacific business schools.

Purpose of Assignment

The purpose of this assignment is to develop students’ analytical capabilities to evaluate, analyze, and apply descriptive statistics techniques to real-world datasets.

Assignment Steps

Resources: Microsoft Excel®, Case Study: MBA Schools in Asia-Pacific

Review the Case Study: MBA Schools in Asia-Pacific and the Case Study: MBA Schools in Asia-Pacific data set.

Prepare a 1,050-word managerial report for your boss.

Use the following questions for guidelines and directions on what to include in the report:

1. What is the type of data (Quantitative or Qualitative) for each of the columns (variables) in the dataset? If quantitative, is the data discrete or continuous? Neatly summarize your response in a table for all the columns (variables).
2. Using Excel®, find the mean, median, standard deviation, minimum, maximum, and the three quartiles for each of the quantitative variables identified in part 1 above. Neatly summarize in a table on this document. Comment on what you observe.
3. What are the minimum and maximum full-time enrollments? Which schools have the minimum and maximum full-time enrollments?
4. What is the average number of students per faculty member? Is this low or high? What does this mean to prospective applicants who are interested in pursuing an MBA in one of the leading international business schools?
5. What are the mean, median, and modal ages? What does this mean to prospective applicants?
6. What is the mean percentage of foreign students? How many and which schools have 1% and 0% foreign students? Which schools have highest percentage of foreign students? Please state these percentages.
7. What percentage of schools require the GMAT test?
8. What percentage of schools require English tests such as Test of English as a Foreign Language (TOEFL)?
9. What percentage of schools require work experience? From this percentage, does this appear to be a significant factor in gaining admissions?
10. What are the mean and median starting salaries? Which schools have the minimum and maximum starting salaries? How much are these minimum and maximum salaries?
11. What are the mean tuition for foreign students and for local students? Does there appear to be a significant difference? What is the difference between the two means?
12. How many schools require work experience and how many of them don’t? What is the mean starting salary for schools requiring work experience? What is the mean starting salary for schools requiring no work experience?
13. How many schools require English tests and how many don’t? What is the mean starting salary for schools requiring English tests? What is the mean starting salary for schools requiring no English tests?
14. Comment on the skewness for the data on starting salaries:
1. Plot a histogram and determine the skewness.
2. Find the skewness coefficient.
3. Find the mean, median, and mode for starting salaries and compare the three measures to determine skewness.
15. Finally, use Empirical Rule on the starting salaries and determine whether the salaries follow the Empirical Rule.

Format your assignment consistent with APA format.

 Business School Full-Time Enrollment Students per Faculty Local Tuition (\$) Foreign Tuition (\$) Age %Foreign GMAT English Test Work Experience Starting Salary (\$) Melbourne Business School 200 5 24,420 29,600 28 47 Yes No Yes 71,400 University of New South Wales (Sydney) 228 4 19,993 32,582 29 28 Yes No Yes 65,200 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 22 0 No No No 7,100 Chinese University of Hong Kong 90 5 11,140 11,140 29 10 Yes No No 31,000 International University of Japan (Niigata) 126 4 33,060 33,060 28 60 Yes Yes No 87,000 Asian Institute of Management (Manila) 389 5 7,562 9,000 25 50 Yes No Yes 22,800 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 23 1 Yes No No 7,500 National University of Singapore 147 6 6,146 7,170 29 51 Yes Yes Yes 43,300 Indian Institute of Management (Calcutta) 463 8 2,880 16,000 23 0 No No No 7,400 Australian National University (Canberra) 42 2 20,300 20,300 30 80 Yes Yes Yes 46,600 Nanyang Technological University (Singapore) 50 5 8,500 8,500 32 20 Yes No Yes 49,300 University of Queensland (Brisbane) 138 17 16,000 22,800 32 26 No No Yes 49,600 Hong Kong University of Science and Technology 60 2 11,513 11,513 26 37 Yes No Yes 34,000 Macquarie Graduate School of Management (Sydney) 12 8 17,172 19,778 34 27 No No Yes 60,100 Chulalongkorn University (Bangkok) 200 7 17,355 17,355 25 6 Yes No Yes 17,600 Monash Mt. Eliza Business School (Melbourne) 350 13 16,200 22,500 30 30 Yes Yes Yes 52,500 Asian Institute of Management (Bangkok) 300 10 18,200 18,200 29 90 No Yes Yes 25,000 University of Adelaide 20 19 16,426 23,100 30 10 No No Yes 66,000 Massey University (Palmerston North, New Zealand) 30 15 13,106 21,625 37 35 No Yes Yes 41,400 Royal Melbourne Institute of Technology 30 7 13,880 17,765 32 30 No Yes Yes 48,900 Jamnalal Bajaj Institute of Management Studies (Bombay) 240 9 1,000 1,000 24 0 No No Yes 7,000 Curtin Institute of Technology (Perth) 98 15 9,475 19,097 29 43 Yes No Yes 55,000 Lahore University of Management Sciences 70 14 11,250 26,300 23 2.5 No No No 7,500 Universiti Sains Malaysia (Penang) 30 5 2,260 2,260 32 15 No Yes Yes 16,000 De La Salle University (Manila) 44 17 3,300 3,600 28 3.5 Yes No Yes 13,100