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α is related to the confidence level CL by α + CL = 1. What does α represent?

AThe probability the interval does contain the true parameter
BThe probability the interval fails to contain the true parameter
CThe margin of error itself, in decimal form
DThe sample size needed for a given confidence level
Answer & Solution
Correct answer: B. The probability the interval fails to contain the true parameter
1. CL is defined as the probability that a constructed confidence interval contains the true population parameter. 2. Since α + CL = 1, α is whatever probability is left over. 3. That leftover probability is exactly the chance the interval fails to capture the true parameter. 4. Option A describes CL itself, the complement of α, so it cannot also be the definition of α. _Source: OpenStax Introductory Statistics (CC BY 4.0), Ch 8 "Confidence Intervals", section 8.1 A Single Population Mean using the Normal Distribution_
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