82. The level of confidence (e.g., 95%) indicates:

  • 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.
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