Step 1: Conceptual Understanding:
This question assesses knowledge of fundamental inferential statistics terms, which are used to infer population characteristics from sample data.
Step 2: Detailed Explanation:
Matching terms from List-I to their definitions in List-II:
(A) An observed set of population selected for analysis: This describes a Sample, which is a subset of a larger population used for collection and analysis.\textit{Therefore, (A) matches with (IV).}
(B) A specific characteristic of the population: A numerical value describing a population's characteristic (e.g., population mean, \(\mu\); population standard deviation, \(\sigma\)) is a Parameter.\textit{Therefore, (B) matches with (I).}
(C) A specific characteristic of the sample: A numerical value describing a sample's characteristic (e.g., sample mean, \(\bar{x}\); sample standard deviation, s) is a Statistic. Statistics serve to estimate population parameters.\textit{Therefore, (C) matches with (III).}
(D) A statement made about a population parameter for testing: A claim or statement about a population parameter, subject to verification, is known as a Hypothesis (specifically, a statistical hypothesis).\textit{Therefore, (D) matches with (II).}
Step 3: Final Answer:
The correct pairings are: A-IV, B-I, C-III, D-II. This corresponds to option (D).