About this course
This course introduces essential statistical methods, including t-tests, non-parametric tests, (multiple)regression, and scale analysis, building on the research design foundation from 0HV00. Hands-on assignments familiarize students with coding, data cleaning, and statistical analysis. This course gives the students the required basic knowledge about statistical methods for more advanced statistical techniques taught in 0HV110.
Learning outcomes
After completing this course, students should be able to:
- Critically assess data sets, recognizing assumptions in statistical procedures.
- Conduct syntax-based data handling and appropriate statistical analyses.
- Interpret statistical results and evaluate data reliability.
- Apply a structured, methodical approach to quantitative data analysis.
Prior knowledge
You must meet the following requirements
- Registered for a degree programme other than
- HBO-TOP Applied Physics, Pre-Master
- Industrial Engineering
- Completed none of the course modules listed below
- Homologation course BRM (0HPH050)
- Behavioral research methods 2: DwD (0HPH10)
- Statistics for SI (0SV120)
- Statistical data-analysis (2AS00)
- Statistiek (2DD70)
- Statistics for IE (2DD80)
- Research and statistics (7U9X0)
- Data Statistics (JBM010)
- Data Science research methods (JBM020)
- Data Science Research Methods (JBM025)
- Data Statistics (JBM015)
Resources
- R with R studio
- Will be announced later.
Additional information
- More infoCoursepage on website of Eindhoven University of Technology
- Contact a coordinator
- CreditsECTS 5
- Levelbachelor
If anything remains unclear, please check the FAQ of TU Eindhoven.
Offering(s)
These offerings are valid for students of Utrecht University