In the simplest possible terms, it’s the likelihood that whatever your experiment is testing isn’t making a difference to the result. The lower the p-value, the more statistically significant your results are.
Basically, it’s the answer to the question: “How sure are we that the result is due to the experiment and not due to things that we aren’t testing?”
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