A. The larger the p-value, the more confidence we can have in rejecting a null hypothesis.

B. If the p-value is 0.02, it means the null hypothesis can be rejected at the 95% level of confidence but not at the 99% level of confidence.

C. The p-value is the probability (assuming that the null hypothesis is true) of obtaining a test statistic at least as extreme as the one that was actually observed.