Suppose you have calculated a 95% confidence interval of [0.82, 0.95] for a population proportion as part of the follow-up to a chi-square goodness-of-fit test. Select the correct statements from the list below.

Group of answer choices

AType | Error would correspond to rejecting the null hypothesis that p=0.97, when in fact p=0.97. A Type II Error would correspond to failing to reject the null hypothesis that p=0.97, when in fact p is not equal to 0.97. We should not reject the null hypothesis that p=0-94. We should reject the null hypothesis that p=0.94. A Type | Error would correspond to failing to reject the null hypothesis that p=0.94, when in fact p is not equal to 0.94. A Type II Error would correspond to rejecting the null hypothesis that p=O.94, when in fact p=0.94