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.
A. Both statements are correct
B. Both statements are incorrect
C. Statement I is correct, while Statement II is incorrect
D. Statement I is incorrect, while Statement II is correct
Answer: Option A
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A. The central limit theorem
B. The law of statistical regularly
C. The law of inertia of large numbers
D. None of the above
The difference between sample statistic and its corresponding population parameter is
A. Sampling error
B. Measurement error
C. Coverage error
D. Non-response error
A. Both (A) and (R) are true
B. (A) is true, but (R) is false
C. (A) is false, but (R) is true
D. Both (A) and (R) are false
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