The blank in this question should be filled with "dependent", as two samples are dependent if the sample values are paired. When data is paired, it means there is a one-to-one correspondence between the values in each sample, often resulting from measuring the same subjects under two different conditions or at two different times.

Would you like further explanation on paired (dependent) versus independent samples? Here are some related questions you might find useful:

1. What is the difference between dependent and independent samples?
2. When should paired samples be used in statistical analysis?
3. Can you provide examples of studies that involve paired samples?
4. How do you test hypotheses with paired data?
5. What are the statistical tests for paired data versus independent data?

Tip: Paired data often requires using tests like the paired t-test, which accounts for the dependency between the two sets of values.