Aconditional relative frequency table is generated by row from a set of data. the conditional relative frequencies of the two categorical variables are then compared. if the relative frequencies are 0.48 and 0.52, which conclusion is most likely supported by the data? there is likely an association between the categorical variables because the relative frequencies are similar in value. an association cannot be determined between the categorical variables because the relative frequencies are similar in value. 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 both close to 0.50.

An "association" exists between two categorical variables if the row (or column) conditional relative frequencies are different for the rows (or columns) of the table. The bigger the differences in the conditional relative frequencies, the stronger the association between the variables. If the conditional relative frequencies are nearly equal for all categories, there may be no association between the variables. Such variables are said to be independent.

Therefore, given that a conditional relative frequency table is generated by row from a set of data. The conditional relative frequencies of the two categorical variables are then compared. If the relative frequencies are 0.48 and 0.52, then the conclusion that is most likely supported by the data is "an association cannot be determined between the categorical variables because the relative frequencies are similar in value".