Step 1: Conceptual Foundation:
This question assesses understanding of core inferential statistics terminology, focusing on inferences made about a population from sample data.
Step 2: Detailed Analysis:
Matching terms from List-I with their definitions in List-II:
(A) A subset of a population selected for examination: This describes a Sample, a portion of a larger population collected for analysis.\textit{Thus, (A) corresponds to (IV).}
(B) A numerical descriptor of a population characteristic: A Parameter is a numerical value representing a characteristic of the entire population (e.g., population mean \(\mu\) or population standard deviation \(\sigma\)).\textit{Therefore, (B) matches with (I).}
(C) A numerical descriptor of a sample characteristic: A Statistic is a numerical value representing a characteristic of a sample (e.g., sample mean \(\bar{x}\) or sample standard deviation s). Statistics are employed to estimate population parameters.\textit{Hence, (C) aligns with (III).}
(D) A testable assertion about a population parameter: A Hypothesis, specifically a statistical hypothesis, is a claim or statement about a population parameter that requires verification.\textit{Consequently, (D) pairs with (II).}
Step 3: Conclusion:
The correct pairings are A-IV, B-I, C-III, and D-II, corresponding to option (D).