Statistical significance helps researchers determine if an observed effect is likely genuine or due to random chance. It’s used in hypothesis testing, often via p-values, to validate findings in experiments. Scientists, data analysts, and businesses benefit by making data-driven decisions, ensuring results are reliable before drawing conclusions or implementing changes.
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