University of Phoenix Material
Case Study: MBA Schools in Asia-Pacific
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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:
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).
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.
What are the minimum and maximum full-time enrollments? Which schools have the minimum and maximum full-time enrollments?
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?
What are the mean, median, and modal ages? What does this mean to prospective applicants?
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.
What percentage of schools require the GMAT test?
What percentage of schools require English tests such as Test of English as a Foreign Language (TOEFL)?
What percentage of schools require work experience? From this percentage, does this appear to be a significant factor in gaining admissions?
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?
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?
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?
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?
Comment on the skewness for the data on starting salaries:
Plot a histogram and determine the skewness.
Find the skewness coefficient.
Find the mean, median, and mode for starting salaries and compare the three measures to determine skewness.
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
