Academic Catalog

RSH901 Techniques and Interpretation for Advanced Statistical Research

With data explosion, data analysis methods using statistics play a fundamental role in the scientific world and industry. Data from multiple sources are common as well. However, we all know that more data does not necessarily imply better information. Extracting valuable information from a mountain of data requires statistical, computational, and analytical skills.

Therefore it is imperative for students to learn how to analyze their data using statistics and derive inferences and model the data that is being used in the thesis. Statistics helps researchers perform data analysis using statistical models and inferences. Descriptive statistical analysis summarizes data into charts and tables and does not try to draw any conclusions about the sampled data. It only summarizes the data in a meaningful way for simpler interpretation. However, inferential statistics allows you to analyze the data even further. It allows one to draw conclusions and infer hypotheses using the same data.

This course covers the foundations of statistics and data analysis. It helps you know how to ask and answer the right questions and solve the problem correctly by applying statistics. This course also aims to help students understand business issues from a finance, marketing, management, application domain, or accounting perspective, and then figure out how statistics can help solve the problem. This course also focuses on how statistical thinking improves the ability of a manager to run or contribute to a business.