According to central limit theorem, if the sample size increases, distribution is said to be . . . . . . . .
A. binomial distribution
B. normal distribution
C. posian distribution
D. None of these
Answer: Option B
A. binomial distribution
B. normal distribution
C. posian distribution
D. None of these
Answer: Option B
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