Final answer:
The correct answer is false. The alpha level is the significance level used in hypothesis testing, while the confidence level represents the level of certainty in estimating a population parameter.
Step-by-step explanation:
The correct answer is b. false.
The alpha level is the significance level used in hypothesis testing, which determines how much evidence is needed to reject the null hypothesis. A common alpha level is 0.05, meaning that there is a 5% chance of incorrectly rejecting the null hypothesis. The confidence level, on the other hand, is the complement of the alpha level, meaning that it represents the level of certainty in estimating a population parameter. A confidence level of 0.95 corresponds to an alpha level of 0.05.