3. Inference‎ > ‎

3.4 Confidence Intervals (concept)

  • Use x-bar to estimate the population mean, μ.
  • Understand the logic of a confidence interval: why a range of values can be predicted at a given level of confidence based on its sampling distribution and the Central Limit Theorem.
  • Understand that the error in a confidence interval only accounts for randomness in sampling, not for undercoverage or nonresponse.
  • Find a confidence interval for a sample mean with a known σ using normal curves.
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This connects back to the baseline of how confident we are that a value is within a given distance of the mean.

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