Assertion (A): A reasonably sized sample drawn randomly from large sized population contains almost all the characteristics which exist in the population.
Reason (R): The theory of sampling is based on the two important laws of statistics, viz law of statistical regularity and law of inertia of large numbers.
A. Both (A) and (R) are correct and (R) is the correct explanation of (A)
B. Both (A) and (R) are correct, but (R) is not the correct explanation of (A)
C. (A) is not correct, while (R) is correct
D. Both (A) and (R) are not correct
Answer: Option B
This Question Belongs to Commerce >> Business Statistics And Research Methods
Related Questions on Business Statistics and Research Methods
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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