In the hypothesis testing procedure, alpha isGroup of answer choicesthe confidence levelthe critical valuethe level of significance1 - level of significance

In the hypothesis testing procedure, alpha (α) is defined as the level of significance. It represents the probability of rejecting the null hypothesis when it is actually true, which is a Type I error. The level of significance (α) is set by the researcher before conducting the test and commonly takes values such as 0.05, 0.01, or 0.10.

To clarify the options provided:

1. The confidence level corresponds to 1 - α.
2. The critical value is determined based on the significance level and the statistical test being used, but it is not itself alpha.
3. 1 - level of significance indeed leads to the confidence level, reinforcing that alpha is the level of significance.

Thus, the correct answer from your options is the level of significance.