This course is designed for DBA participants who want to learn or to refresh their understanding of basic to more advanced statistical applications that are commonly used in management research (both academic and industrial). This course will be much more practical and “hands on” than theoretical. In that sense, it is much more about data analysis than statistics, per se. Emphasis will be on such matters as inputting data, transforming and manipulating data, formulating strategies for data analysis, strategies for analyzing a database, performing statistical techniques using common software packages, interpreting results and formulating the next steps.

CILO-1: Identify some basic statistical skills and concepts, for example (a) frequency distribution for sample data, (b) interpretation the distribution by diagrams and statistics, (c) probability and the concept of probability distributions, (d) concepts of confidence intervals and hypothesis tests, (e) concepts of means (paired and unpaired samples), proportions, variances, and associations. CILO-2: Illustrate advanced techniques about survey (such as factor analysis, correlation, multiple regression, and so on) and experiment (such as ANOVA) using some statistical software (e.g. SPSS). CILO-3: Construct quantitative research skills, designs and methods to cover the analysis, interpretation and presentation of research results. CILO-4: Make predictions and understand limitations based on data analysis, findings, and result.