Final answer:
Option (B), The Chi-squared test is appropriate for unpaired categorical data from large samples, specifically for tests like the test for homogeneity, comparing if two independent samples come from the same distribution.
Step-by-step explanation:
The Chi-squared test is suitable for unpaired categorical data from large samples. This means the correct answer is B) Unpaired categorical data from large samples. When we perform a hypothesis test on matched or paired samples, the two measurements are drawn from the same pair of individuals or objects, and we compare two sample means to each other. This type of test typically requires smaller sample sizes and uses Student's t-distribution.
On the other hand, the Chi-squared test, specifically the test for homogeneity, compares observed values against expected values to assess if two independent samples originate from the same distribution. All expected values in chi-square tests should be at least five to ensure adequacy of the test.