I. In a one-sample z-test for a population proportion, the null hypothesis is typically stated as $$H_0: p = p_0$$.

II. The P-value represents the probability of obtaining a sample statistic as extreme or more extreme than the one observed, assuming the null hypothesis is true.

III. A small P-value indicates strong evidence in favor of the null hypothesis.

Which of the above statements are true?