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Do not confuse statistical significance with practical importance. A small p-value indicates evidence against the null hypothesis, but you should also consider effect size and real-world relevance when interpreting results.

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Interpret p-values carefully and avoid treating them as measures of practical importance. Consider effect sizes, confidence intervals, sample size, and real-world relevance when explaining the significance of your findings.

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