Statistical significance refers to the point at which a test result reaches a level that it’s deemed meaningful. In most tests, the acceptable level of significance is 95%. The more data you collect, the more significant a result gets. Until it reaches that 95% level, it’s not considered a result that should be used to make inferences from.
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