Explain the process of collecting and analyzing data from experiments.

Explanation should include

•    use of computational methods, as needed
•    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 is 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?