A conditional relative frequency table is generated by column from a set of data. the conditional relative frequencies of the tw
o 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.
The conclusion is there is likely an association between the categorical variables because the sum of the relative frequencies is 1. 0.
<h3>What is the true statement?</h3>
Categorical variables are variables that can only take on a fixed number of values. An example of categorical variables is gender. One can either be a male or a female.
The sum of the categorical variables is 1. This indicates that the two variables are negatively correlated. It means that someone would be either pick one of the variables.
