What does it mean if the p-value in a Chi-square test is smaller than the significance level?

  • The alternative hypothesis is true
  • The null hypothesis is true
  • The test result is insignificant
  • There is not enough evidence to reject the null hypothesis
If the p-value in a Chi-square test is smaller than the significance level, we reject the null hypothesis in favor of the alternative hypothesis. This suggests that there is a significant association between the variables.
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