Assertion (A): A reasonably large sized sample drawn randomly from a given population contains almost all the characteristics of the population.
Reason (R): As per the sampling theory, the assertion is based only on the 'law of inertia of large numbers'.
A. (A) is true and (R) as per the sampling theory is also fully true
B. (A) is true, but the (R) as per the sampling theory is not fully true
C. Both (A) and (R) are false
D. (A) is false, but the (R) is sufficient as per the sampling theory
Answer: Option A
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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