Evaluate test results.

Evaluation should include

•    interpreting the data to determine whether the test results are repeatable and reliable
•    determining the degree to which the solution meets the design criteria
•    weighing the advantages and disadvantages of the solution, including

o    costs
o    time
o     resources
o    plausibility
o    ethical considerations
o    effects.

Process/Skill Questions:

•    Why is it important to know whether the test results demonstrated by the model are repeatable and reliable?
•    Why is it important to consider the disadvantages of the solution before attempting to implement it, even when the disadvantages are outweighed by the advantages?
•    How does one determine the true cost of the solution? What are the factors affecting cost?
•    What is the difference between efficiency and effectiveness?
•    How are data and results validated?
•    Why is it important to consider how a solution might affect the environment?
•    Why is it crucial to consider the ethics surrounding the potential solution?
•    What criteria might one use to determine the degree to which the solution meets the objective stated in the design brief?