When using the chi-square statistic in cross-tabulation, the null hypothesis (H0)will be rejected only when the probability of obtaining a more extreme value is less than 0.05.

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This statement is true. A significance level of 0.05 (or 5%) is commonly used as a threshold for rejecting the null hypothesis in statistical tests, including the chi-square test used in cross-tabulation. If the p-value (probability of obtaining a more extreme value) is less than 0.05, it is considered statistically significant and the null hypothesis is rejected. However, if the p-value is greater than or equal to 0.05, the null hypothesis cannot be rejected (i.e., there is insufficient evidence to conclude that there is a significant relationship between the variables being analyzed).

When Using the Chi-Square Statistic in Cross-Tabulation, the Null Hypothesis