What effect does increase in the sample size have upon the sampling error?

The law of statistics, which says "Moderately large number of items chosen at random from a large group possess the characteristics of the large group", is referred to as

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

Assertion (A): If regression coefficient of X on Y is greater than one, regression coefficient of Y on X must be less than one.
Reason (R): The geometric mean between two regression coefficients is the coefficient of correlation.

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

If in Binomial distribution mean is 10 and standard deviation 2, q will be

B. 1

C. 0.4

D. 0.8