In a null-hypothesis (H0) significance testing, p-value is the probability that often mentioned. Which of the following statements about the p-value is correct? A) A large p-value implies that the observed value is inconsistent with H0. B) It is the probability of drawing a statistic at least as adverse to the null hypothesis as the one you actually computed in your sample, assuming the null hypothesis is correct. C) The critical value of a two-sided t-test computed from a large sample is the same as the p-value. D) A large p-value implies rejection of H0