Consider the following statements.
Statement-I: When the null hypothesis is true but as per the hypothesis-testing, it is rejected, it is known as beta type error in hypothesis testing.
Statement-II: Chi-square test is exclusivelya non-parametric test.

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