Question

a conditional relative frequency table is generated by column from a set of data. the conditional relative frequencies of the two categorical variables are then compared. if the relative frequencies being compared are 0.21 and 0.79, which conclusion is most likely supported by the data? an association cannot be determined between the categorical variables because the relative frequencies are not similar in value. there is likely an association between the categorical variables because the relative frequencies are not similar in value. an association cannot be determined between the categorical variables because the sum of the relative frequencies is 1.0. there is likely an association between the categorical variables because the sum of the relative frequencies is 1.0.

Explanation:

If the conditional relative frequencies of two - categorical variables are very different (in this case 0.21 and 0.79), it suggests that there is an association between the categorical variables. The sum of relative frequencies being 1.0 is a property of relative frequencies and not relevant to determining association. When relative frequencies are not similar, an association is likely.

Answer:

There is likely an association between the categorical variables because the relative frequencies are not similar in value.