Each normal distribution is defined by its two parameters viz.
A. mean and median
B. standard deviation and mode
C. mean and standard deviation
D. None of the above
Answer: Option C
A. mean and median
B. standard deviation and mode
C. mean and standard deviation
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
Join The Discussion