When constructing confidence interval for a parameter,we generally set the confidence level 1 − α close to 1 (usually between 0.90 and 0.99)because it is the probability that the interval includes the actual value of the population parameter.

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This statement is true. The confidence level represents the probability that the interval includes the true population parameter. Therefore, a higher confidence level (closer to 1) increases the probability of capturing the true parameter value within the interval.

When Constructing Confidence Interval for a Parameter,we Generally Set the Confidence