Tests of significance assess whether the differences between observed and expected values could be due to chance or are statistically significant.

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Tests of significance, such as the chi-square test or t-test, are used to determine if the differences between observed and expected values are likely to have occurred by chance or if they are statistically significant, indicating a real difference or effect.

Tests of Significance Assess Whether the Differences Between Observed and Expected