Upon completion of this course, the student is expected to be able to:
- translate a research question into a statistical hypothesis or/and into a regression model when given a data group and the type of experimental design or sampling procedure
- apply estimation and testing methods in order to make data-based decisions
- model and investigate relationships between two or more variables within a regression framework
- apply checks for method’s assumptions
- comprehend and interpret correctly the statistical significance
- interpret results correctly, effectively, and in context without relying on statistical jargon
- comprehend the notion of uncertainty which is always contained in statistical inference critique data-based claims and evaluate data-based decisions
- complete a research project that employs simple statistical inference
- use statistical software to summarize data numerically and visually, and to perform data analysis
- comply to ethical issues.