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An experiment can be seen as a structured method for collecting data to test a hypothesis. The process of designing a good experiment involves reducing unknowns and establishing a clear relationship between the hypotheis and any expected results. does the collected data actually support (or refute) the hypothesis? is there enough data to draw a conclusion? are there other factors effecting the outcome?
on unstructured tinkering and statistical validity…
demonstration vs. experiment