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 we would like to be reasonably confident that the interval includes the actual value of the population parameter.

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Setting the confidence level close to 1 (e.g., 0.90 to 0.99) increases the likelihood that the confidence interval will contain the true population parameter, reflecting a higher degree of certainty about the estimate.

When Constructing Confidence Interval for a Parameter, We Generally Set 1−α1 - \alpha1−α

When Constructing Confidence Interval for a Parameter, We Generally Set $1 - \alpha$