Statement I: If the alternative hypothesis is as $$\mu \ne {\mu _0}$$  ; a researcher requires two-tailed test in hypothesis-testing.
Statement II: The mean of the sampling distribution of mean is not equal to the parametric value of mean.

A. The central limit theorem B. The law of statistical regularly C. The law of inertia of large numbers D. None of the above

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

A. 0 B. 1 C. 0.4 D. 0.8