An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true. 14. Which of the following statements is correct? A. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true. B. The p-value measures the probability that the null hypothesis is true. C. The p-value measures the probability of making a Type II error. D. The larger the p-value, the stronger the evidence against the null hypothesis. E. None of the above statements are true.