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Sig. (2-tailed), or the two-tailed significance level, is a statistical measure used in hypothesis testing to determine the probability of observing a test statistic as extreme as the one obtained, assuming the null hypothesis is true. It evaluates both directions of the effect, indicating whether the results are significantly different from the null hypothesis in either direction. A common threshold for significance is 0.05; if the Sig. (2-tailed) value is less than this, the null hypothesis is typically rejected.

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