Experiment Design

Experiment Design

Experiment design is designing a system to collect data or solve a problem that is relevant. Data collected should be as close to true as possible.

Benefits of Experiment Design

1. Gives you feedback on your understanding of a system. If understanding is correct the data will algin closely with your math model.
2. Data will be relevant and true.
3. Make explaining your work to others easier.
4. Helps build credibility in the industry.

Process of Experiment Design.

1. Find out why you need to do the experiment.
2. Build a understanding of the current knowledge available on the situation
3. Put together a hypotheses on the collected data from step 2.
4. Determine an effective experiment to verify the hypotheses by: stating the goal, generating ideas, analyzing the ideas, making a plan, and assembling the materials needed.
5. Execute the experiment, do reflective thinking and repeat if nessessary.

Science vs. Alchemy.

Scentific belief is believing in data, evidence, and reasoning.  Properly obtained data is most likely true.  Alchemy beliefs is trusting in what one thinks. If the data does not agree then the data must be wrong. People preffer to believe in what they think over the data because the brain releases chemicals that tell them to argue the data that does not agree with what they think.

Benefits of Believing in Science

1. Helps arguments because it is hard for others to win an arguement against good data.
2. Adds new possibilities as we collect more and more data and connect the dots between it.

Examples of Scientific Method.

• The scientific method can be used when learning to help determine constants and how to obtain those constants.
• The scientific method can be used in product design to determine how a long a product will last by repeatedly having it exposed to a given situation.
• The scientific method can be used to verify the math model of an engines efficiency by comparing the predicted data with the experimental data.