Statement I : The absolute value of the difference between an unbiased estimate and the corresponding population parameter is called sampling error. Statement II : Multi-stage sampling is a restricted non-probability based sampling technique. Indicate the correct code :
Sampling error is defined as the discrepancy between a sample statistic (such as an unbiased estimate) derived from a sample and the corresponding true value in the population (the population parameter). Statement I accurately describes this concept. Therefore, Statement I is correct.
Multi-stage sampling is a probability-based sampling technique. It involves dividing the population into successive subgroups (stages) and randomly sampling from these subgroups at each stage. This contrasts with non-probability sampling methods, which rely on subjective selection criteria. Statement II incorrectly classifies multi-stage sampling as non-probability based. Therefore, Statement II is incorrect.
Based on the analysis:
This corresponds to the option where Statement I is correct, and Statement II is incorrect.
Homogenous subsets in the sampling are called
Match the LIST-I with LIST-II
| LIST-I Sampling frame (Circles denotes unit selected) | LIST-II Sampling Procedure |
A. ![]() | I. Systematic Sampling |
B. ![]() | II. Cluster Sampling |
C. ![]() | III. Simple Random Sampling |
D. ![]() | IV. Stratified Random Sampling |
Choose the correct answer from the options given below: