Conducting should include
- multiple executions
- controlled-variable modifications
- calibration
- optimization
- sensitivity analysis
- design of experiment (e.g., what-if scenarios).
Process/Skill Questions:
- Why is input data typically random?
- What is meant by relevant output data?
- How does one decide the best measures of a system’s performance?
- Why would one run an experiment multiple times?
- How can an experiment be refined?