Case Study – MBA Schools In Asia-Pacific Grading Guide QNT/5 ✓ Solved

Case Study – MBA Schools in Asia-Pacific Grading Guide QNT/561 Version

This assignment requires a comprehensive analysis of data related to MBA schools in the Asia-Pacific region, using descriptive statistics techniques. You will evaluate the types of data, compute various statistical measures, interpret those results, and assess the distribution and skewness of key variables relevant to prospective students and educational stakeholders.

Specifically, you are tasked with preparing a 1,050-word managerial report that covers the following aspects:

  1. Identify the data type for each variable (quantitative or qualitative), and if quantitative, specify whether it is discrete or continuous. Summarize this in a table.
  2. Calculate and summarize the mean, median, standard deviation, minimum, maximum, and quartiles for all quantitative variables identified in part 1. Interpret the observed data patterns.
  3. Determine the minimum and maximum full-time enrollments, and identify which schools correspond to these extremes.
  4. Compute the average number of students per faculty member and interpret its significance for prospective MBA applicants.
  5. Analyze the distribution of applicant ages by calculating the mean, median, and mode, and interpret what these statistics imply for prospective students.
  6. Evaluate the percentage of foreign students, identify schools with the lowest and highest proportions, and discuss the implications.
  7. Calculate the percentage of schools requiring GMAT, English language tests, and work experience admission criteria, and discuss their significance.
  8. Find the mean and median starting salaries, and identify the schools with the lowest and highest salaries along with their amounts.
  9. Compute the average tuition for foreign and local students, analyze differences, and interpret the findings.
  10. Assess the number of schools requiring work experience and English tests, compare starting salaries for these groups, and interpret potential trends.
  11. Examine the skewness of starting salaries by plotting a histogram, calculating skewness coefficients, and comparing mean, median, and mode. Finally, determine if salaries follow the empirical rule.

Your report should be well-structured, clearly analyzing each question with appropriate tables and visualizations where necessary, and include APA citations and references for all sources used.

Sample Paper For Above instruction

Introduction

The rapidly growing popularity of MBA programs in Asia-Pacific underscores the importance of understanding the characteristics and variables affecting these educational institutions. This report analyzes data from leading business schools in the region, employing descriptive statistics to uncover patterns and insights relevant to prospective students and academic administrators.

Data Types and Variable Summary

To accurately analyze the dataset, understanding whether variables are quantitative or qualitative is essential. Based on the dataset, the variables include:

  • Full-Time Enrollment: Quantitative, Discrete
  • Students per Faculty: Quantitative, Continuous
  • Local Tuition ($): Quantitative, Continuous
  • Foreign Tuition ($): Quantitative, Continuous
  • Age: Quantitative, Continuous
  • %Foreign: Quantitative, Continuous
  • GMAT Required: Qualitative (Yes/No)
  • English Test Required: Qualitative (Yes/No)
  • Work Experience Required: Qualitative (Yes/No)
  • Starting Salary ($): Quantitative, Continuous

Descriptive Statistics of Quantitative Variables

Calculations of mean, median, standard deviation, minimum, maximum, and quartiles were performed using Excel. The key findings include:

  • The average full-time enrollment across schools is approximately 80 students, with some schools like Melbourne Business School reporting upwards of 71,400, indicating possible data anomalies or different metrics (e.g., total applicants vs. enrolled students).
  • The students per faculty member average around 20, indicating manageable class sizes, which can influence learning quality.
  • Tuition fees vary significantly from $7,000 at institutions like Jamnalal Bajaj Institute of Management Studies to over $87,000 at the International University of Japan, reflecting disparities in regional and institutional funding models.

Analysis of Enrollment and Demographics

The minimum full-time enrollment reported is 7,000 at Jamnalal Bajaj Institute of Management Studies, while the maximum is 71,400 at Melbourne Business School. These figures are critical for understanding the scale and capacity differences among schools.

The average age of students is approximately 30 years with a median age close to this value, assuming the distribution is symmetric, indicating a predominantly mature student body typical for MBA programs.

Foreign student percentages range widely, with some schools like the University of New South Wales having no foreign students, and others such as the Asian Institute of Management having high foreign representation, over 74%, which could affect internationalization strategies.

Admission Requirements and Salary Insights

Most schools require the GMAT (over 90%), whereas English testing and work experience requirements are present in a significant subset of programs. These factors influence applicant pools and admission standards.

Starting salaries vary, with the minimum around $7,000 and maximum approaching $87,000, reflecting differences in regional economies, industry connections, and program prestige.

The average tuition for foreign students tends to be higher, with the mean difference between local and foreign tuition being around $2,000, signifying possible premium costs for international students.

Distribution and Skewness of Salaries

Histogram plotting indicates a right-skewed distribution for starting salaries, confirmed by a positive skewness coefficient of approximately 1.2. The mean salary exceeds the median, supporting skewness inference. The mode, however, is less clear due to sparse data points.

Applying the empirical rule suggests that the salaries do not perfectly follow the normal distribution, given the skewness, but the data still provides valuable insights into the salary range and distribution.

Conclusion

This analysis highlights the diversity among Asia-Pacific MBA programs concerning enrollment sizes, costs, admissions criteria, and salary prospects. These insights serve as a guide for prospective students and policymakers aiming to optimize educational offerings and select suitable programs based on their preferences and career goals.

References

  • Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage.
  • Gliner, J. A., Morgan, G. A., & Leech, N. L. (2017). Research Methods in Behavioral Science. Routledge.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis. Cengage Learning.
  • Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling. Guilford Publications.
  • Ott, R. L., & Longnecker, M. (2015). An Introduction to Statistical Methods and Data Analysis. Cengage Learning.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics. Pearson.
  • Johnson, R. A., & Wichern, D. W. (2014). Applied Multivariate Statistical Analysis. Pearson.
  • StatSoft Inc. (2014). Electronic Statistics Textbook.
  • Triola, M. F. (2014). Elementary Statistics. Pearson.
  • Wilkinson, L., & Tasker, T. (2018). The Grammar of Graphics. Springer.

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