Designing an Experiment
Experimental design is an efficient procedure for planning experiments so that data obtained can be analyzed to give valid and objective conclusions.
Benefits of using Experimental Design Process:
This process is fast, and is the most efficient way to perform engineering. Data collected in experimentation tells us immediately whether our math models are correct or that we obviously have errors or variables unaccounted for. Confidence in our data is paramount to our reliability in the field and our ability to share and communicate with our peers.
Our process includes:
1. Figure out the why of the experiment.
2. Apply relevant knowledge
3. Make predictions, state hypothesis.
4. Plan the experiment, including goals statement, knows and unknowns, how much data do I need.
-decide how the data with be measured, and what can affect the data
-analyze data
-make an experiment algorithm
-get your stuff and follow through
5. Execute, analyze, repeat.
6. Decided whether the findings are consistent, once you are satisfied then report your findings.
Good practice involves accurate data, not skewing your findings to fit what you think they should be but using the data your experiment reveals. If you don't like it, change your experiment, but don't be dishonest it's a waste of time.
2 Belief system:
People who use the scientific belief system are skeptical of themselves and what is presented to them and focused on data and evidence that reflects the true nature of situations. Alchemy based belief is based around information which supports a persons own beliefs. Those who follow alchemy are not open to data which does not concur with their own ideas and therefore have skewed perception.
Belief in science means that your theories and ideas are based on information which you know fits with the natural order and systems. You are constantly open to new ideas and making the most of the knowledge provided to you.
I can see example of the scientific method everyday in the real world. I see how my grades compare to those in my class. I can benchmark a computer program on different computers to see which one runs faster. We can see math models at work everyday in how our traffic flows through our city streets, and do testing on specific models by finding similar intersections in different cities and comparing the two.
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