Question

In a chi-square test, what would it mean if the P value were less than 5%?

Answer 1

If the p-value is less than 5%, it means that there is significant evidence to reject the null hypothesis.

Step-by-step explanation:

In a chi-square test, if the p-value is less than 5%, it means that the observed test statistic is very unlikely to happen if the null hypothesis is true. This provides significant evidence to reject the null hypothesis in favor of the alternative hypothesis. Generally, in practice, the null hypothesis is rejected when the p-value is smaller than 0.05 (5 percent) or sometimes smaller than 0.01 (1 percent).