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The correct answer is a. 1 – alpha.

In statistics, the confidence level is the probability that the interval estimation (such as a confidence interval) will contain the true population parameter. It is usually expressed as a percentage or a decimal value between 0 and 1.

Alpha (α) is the level of significance, which is the probability of rejecting the null hypothesis when it is actually true. Beta (β) is the probability of accepting the null hypothesis when it is actually false. 1 - beta is the power of the test, which is the probability of rejecting the null hypothesis when it is actually false.
 

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