Case Study: MBA Schools in Asia-PacificName:Institutional affiliationCase Study: MBA Schools in Asia-PacificData analysis is an important tool for modern day decision making. This report presents an analysis of MBA Schools in Asia-Pacific. Findings of the analysis will enable students to make decisions on which institutions to apply to. The analysis looks at the capacity, requirements, conditions and the opportunity cost of pursuing the MBA course. Type of data Data available about the universities are qualitative and quantitative. Quantitative data informs the audience about the quantities of the variable. Quantitative data are expressed using numerical values. They include the number of students enrolled in a particular institution, the number of students per faculty, tuition fee for both local and foreign students, the percentage of foreign students and starting salaries. Quantitative data can further be classified as either discrete or continuous. Discrete variables are expressed using integers while continuous variables may contain decimals. Examples of continuous data are tuition fee, the percentage of foreign students and starting salary. Qualitative data, on the other hand, are descriptive in nature and are not numeric. They include GMAT, a requirement to take an English