When constructing confidence interval for a parameter,we generally set the confidence level 1 -$\alpha$ 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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A higher confidence level means that we are more confident that the true population parameter falls within the calculated interval. Setting the confidence level close to 1 means we have a high probability of capturing the true parameter value.

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