Statistically significant refers to the likelihood that a relationship or effect observed in data is not due to random chance. In hypothesis testing, a result is typically considered statistically significant if the p-value is less than a predetermined threshold, often set at 0.05. This concept is essential in determining whether the differences between paired samples indicate meaningful changes rather than random variations.
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