When using the chi-square statistic in cross-tabulation,the null hypothesis (H0)will be rejected only when the calculated value of the test statistic is greater than the critical value of the chi-square distribution with the appropriate degrees of freedom.

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This statement is true. The chi-square test is a hypothesis test that compares the observed frequencies of a categorical variable to the expected frequencies under the null hypothesis. The test statistic is calculated as the sum of the squared differences between observed and expected frequencies, divided by the expected frequencies. The resulting value is compared to a critical value from a chi-square distribution with degrees of freedom equal to (number of rows - 1) x (number of columns - 1). If the calculated value of the test statistic is greater than the critical value, the null hypothesis is rejected at the specified level of significance.

When Using the Chi-Square Statistic in Cross-Tabulation,the Null Hypothesis (H0)will