a. The p-value of the test tells us the what is the probability of committing a Type I error according to our sample t-statistic and the rejection region determined by the alternative hypothesis b. The p-value of the test tells us the what is the probability of committing a Type I error according to our sample t-statistic and the rejection region determined by the null hypothesis. c. The p-value of the test tells us the what is the probability of committing a Type II error according to our sample t-statistic and the rejection region determined by the null hypothesis. d. The p-value of the test tells us the what is the probability of committing a Type II error according to our sample t-statistic and the rejection region determined by the alternative hypothesis. e. The p-value of the test tells us the what is the probability of committing a Type I error according to the critical value and the rejection region determined by the alternative hypothesis