- The probability that the parameter is exactly equal to the estimate.
- The proportion of times the confidence interval will contain the true population parameter if the process is repeated many times.
- The probability of making a Type I error.
- The precision of the estimate.
82. The level of confidence (e.g., 95%) indicates:
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