In chi-square, the null hypothesis states that there is no association. When the calculated chi-square value exceeds the critical chi-square table value, the null hypothesis is not supported.

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This statement is true. In chi-square, the null hypothesis assumes that there is no association between the variables being tested. If the calculated chi-square value exceeds the critical chi-square table value, it means that the observed data significantly deviates from the expected data and the null hypothesis is rejected.

In Chi-Square, the Null Hypothesis States That There Is No