In the chi-square analysis, the greater the differences between the observed frequencies and the expected frequencies, the less likely it is that there will be a statistically significant relationship.

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In chi-square analysis, greater differences between observed and expected frequencies increase the likelihood of a statistically significant relationship, indicating that the observed distribution is not due to chance.

In the Chi-Square Analysis, the Greater the Differences Between the Observed