Analysis should include
- comparative research
- observations
- documentation (e.g., lab journals, logs)
- application of formulas
- conclusions
- quality control (e.g., identification of quality standard, data validation).
Process/Skill Questions:
- How and why are data collected from lab activities?
- How is data documented?
- Why is it important to understand data analysis before collecting data?
- How are quality controls maintained? What would happen if quality controls were not maintained?
- How are data standards identified?
- What is bias?