Sampling distribution proportion $${\hat P}$$ (hat) represent
A. number of successes in the sample
B. number of successes in the sample/mean
C. number of successes in the sample/n
D. None of the above
Answer: Option C
A. number of successes in the sample
B. number of successes in the sample/mean
C. number of successes in the sample/n
D. None of the above
Answer: Option C
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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