Statistical Methods for Research is designed to provide graduate students with a strong foundation in statistics, covering key areas such as confidence intervals, hypothesis testing and statistical modeling.
The program provides the vast majority of Master's level students with the statistics they will need to complete their research reports, and provides doctoral students with the statistics they need to understand and evaluate the statistical test models they will use in their research.
Taking a cross-disciplinary approach and compatible with all major statistics packages, this program will be rich with scenarios, practical applications and interactive statistical models and will be supported by optional peer-to-peer online forums and interaction.
The course is based on the design of a highly successful course from the University of Reading, UK, that has recorded an average improvement of 122% in students' performances.