The level of significance is the ___.Group of answer choicesmaximum allowable probability of Type I errormaximum allowable probability of Type II errorsame as the confidence coefficientsame as p-value

Level of significance is the probability of: Group of answer choicesincorrectly rejecting an actually true null hypothesis.incorrectly rejecting an actually true null hypothesis.incorrectly failing to reject an actually false null hypothesis.correctly rejecting an actually false null hypothesis

The probability of making a Type I error when the null hypothesis is true as an equality is called the level of significance Group of answer choicesFalseTrue

The level of significance in hypothesis testing is the probability of ___.Group of answer choicesrejecting a true null hypothesisaccepting a true null hypothesisaccepting a false null hypothesiscould be any of the above, depending on the situation

Potential errors relative to Hypothesis testing are referred to as Type I error and Type II error. Group of answer choicesTrueFalse

Select all correct statement(s). Note that incorrectly-selected statements will draw penalty. Group of answer choices We know the probability of making a Type I error given that the null is true. The null hypothesis is rejected if the p-value is lower than the level of significance. For an upper-tail test, the 1% critical value must be greater than the 5% critical value. We know the probability of making a Type II error if the null is known to be false. Once the null hypothesis is rejected at 1%, it is unnecessary to test at 5%. When other factors remain the same, the lower the level of significance the lower the power. The critical value method and the p-value method can lead to a different conclusions from each other. The lower the power the lower the probability of Type II error.