The table below shows the conditional relative frequencies of a set of data comparing gender and whether an academic scholarship was earned. A 4-column table with 3 rows. The first column has no label with entries male, female, total. The second column is labeled scholarship with entries 0. 47, 0. 52, 0. 495. The third column is labeled no scholarship with entries 0. 53, 0. 48, 0. 505. The fourth column is labeled total with entries 1, 1, 1. Which conclusion can be drawn from the table? An association cannot be determined because 0. 47 is close to 0. 52. There is an association between gender and scholarship earned because each row adds to 1. An association cannot be determined because 0. 47 is close to 0. 53. There is an association between gender and scholarship earned because each column total is the average of the values in the column.