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Step 1: State the problem. |
You cannot solve a problem until you know exactly what it is.
My Problem is - "I need to build a robot to accomplish my mission". |
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Step 2: Research the problem. |
What will it take to solve my problem? What do I know, and need to know, about my problem?
To solve my problem, "I need to know _how_ to build a
robot".
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Step 3: Form a hypothesis. |
A possible solution to my problem. The simplest solution is often the best solution! "Based on my research, I will build a robot called ( GoBot )". |
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Step 4: Test the hypothesis. |
Perform an experiment to see if your hypothesis works.
"Put ( GoBot ) in the simulator". |
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Step 5: Draw conclusions from the data. |
Data are the results of an experiment. In its simplest form, there are only two possibilities:
(1) If your hypothesis was correct, you now have a
successful robot.
(2) If your hypothesis was incorrect, the experiment failed.
DO MORE RESEARCH! - Did you make a poor selection? - Was your experiment flawed? - Form another hypothesis based on additional research. - Test your new hypothesis. |