Course: Statistics 1 credits: 5
- Course code
- CTVP23STATIST1
- Name
- Statistics 1
- Study year
- 2023-2024
- ECTS credits
- 5
- Language
- Dutch, with parts in English
- Coordinator
- M.E.F. Apol
- Modes of delivery
-
- Lecture
- Practical / Training
- Project-based learning
- Tutorial
- Assessments
-
- Project - Other assessment
- Theorie - Computer, organised by STAD examinations
Learning outcomes
The Statistics 1 curriculum component covers the following sections of the Chemical Engineering BOKS:
Knowledge:
Statistics and Mathematics: Reliability of measurements, Data processing and data analysis (statistical tests, statistical software)
Skills:
Research skills and systematic problem approach: problem analysis, formulation of research questions, research planning and execution
ICT skills: use and deployment of state-of-the-art digital tools/software (data analysis and processing software)
Social and communication skills: working together, reporting and presenting (Dutch), project-based work
This module has the following learning outcomes:
You apply concepts from descriptive statistics, then interpret these concepts and visualize them in writing in the chemical-technological context.
You perform null hypothesis tests on (multiple) experimental means, variances and proportions.
You calculate and interpret an appropriate effect strength for each null hypothesis test.
You express the results of statistical analyses in an understandable way and give advice based on these analyses.
You carry out statistical analyses using appropriate software (e.g. Excel).
You communicate in writing according to the given guidelines (poster instruction) in Dutch about a simple experiment/professional task.
Knowledge:
Statistics and Mathematics: Reliability of measurements, Data processing and data analysis (statistical tests, statistical software)
Skills:
Research skills and systematic problem approach: problem analysis, formulation of research questions, research planning and execution
ICT skills: use and deployment of state-of-the-art digital tools/software (data analysis and processing software)
Social and communication skills: working together, reporting and presenting (Dutch), project-based work
This module has the following learning outcomes:
You apply concepts from descriptive statistics, then interpret these concepts and visualize them in writing in the chemical-technological context.
You perform null hypothesis tests on (multiple) experimental means, variances and proportions.
You calculate and interpret an appropriate effect strength for each null hypothesis test.
You express the results of statistical analyses in an understandable way and give advice based on these analyses.
You carry out statistical analyses using appropriate software (e.g. Excel).
You communicate in writing according to the given guidelines (poster instruction) in Dutch about a simple experiment/professional task.
DAS competencies
| Competency | Level (I-IV) |
| Research | 1 |
| Experimentation | 1 |
| Development |
|
| Management |
|
| Advise | 1 |
| Instruction | 1 |
| Leadership |
|
| Self-management |
|
Content
In this module, various statistical analysis techniques are introduced to determine and interpret the significance and effect strength of differences between experimentally measured means and/or proportions. Attention is also paid to visualising experimental data. The analyses and visualisations are performed in Excel. During the practical course, students work in pairs to set up, carry out and elaborate their own research. The results are presented with a poster.
Included in programme(s)
School(s)
- Institute for Life Science & Technology