Jim Daniel's STAM Seminar Excerpts

Confidence intervals and approximate variances

Confidence intervals and approximate variances describes the idea of a confidence interval and how you construct a so-called linear symmetric confidence interval. Such problems in general are unlikely to be heavily tested on Exam STAM, but the resulting method is essential for the computational problems involving confidence intervals. It contains about 2.5 pages of text. Here is the table of contents:

  • 1.1 Confidence intervals
  • 1.2 Linear symmetric confidence intervals
  • 1.3 Example: estimating a probability

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