The law of statistics, which says "Moderately large number of items chosen at random from a large group possess the characteristics of the large group", is referred to as
A. The central limit theorem
B. The law of statistical regularly
C. The law of inertia of large numbers
D. None of the above
Answer: Option B
Solution (By Examveda Team)
The law of statistical regularity states that a moderately large number of items chosen at random from a large group will likely possess the same characteristics as the large group.This law is fundamental in sampling theory and ensures that a sample is representative of the population from which it is drawn.
It relies on the principle of probability, which guarantees that random selection leads to an accurate reflection of the population's properties.
This law is crucial in fields like business statistics where sampling is essential for data analysis.
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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
I think the answer should be option B. because in the law of inertia of large numbers it define as the sample size increses it becomes more accurate.