Step 1 :In general, \(\boxed{50\%}\) of the values in a data set lie at or below the median.
Step 2 :\(\boxed{75\%}\) of the values in a data set lie at or below the third quartile (Q3).
Step 3 :If a sample consists of 1000 test scores, \(\boxed{500}\) of them would be at or below the second quartile (Q2).
Step 4 :If a sample consists of 1000 test scores, \(\boxed{750}\) of them would be at or above the first quartile (Q1).