The standard error of the mean:
A. decreases as the sample size increases
B. measures the variability of the mean from sample to sample
C. is less than the standard deviation of the population
D. all of the above
Answer: Option D
A. decreases as the sample size increases
B. measures the variability of the mean from sample to sample
C. is less than the standard deviation of the population
D. all of the above
Answer: Option D
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
Join The Discussion