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. Homework assignments are part of the hands-on assignments.
Learning outcomes
After completing this course, students should be able to:
- Critically evaluate and prepare datasets for statistical procedures .
- Apply the appropriate statistical method and related assumptions
- Interpret statistical results while considering reliability of the data.
- 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 Statistics (JBM015)
- Data Science research methods (JBM020)
- Data Science Research Methods (JBM025)
Resources
- R with R studio
- Will be announced later.
Additional information
- More infoCourse page on website of Eindhoven University of Technology
- Contact a coordinator
- About studying within the EWUU alliancehttps://ewuu.nl/en/education/courses/eduxchange-faq-students
course
5 ECTS • broadening- Levelbachelor
Starting dates
31 Aug 2026
ends 25 Oct 2026
Enrolment starts 15 Jun, 00:00Register between 15 Jun, 00:00 - 23 Aug
