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UNIT S1: BOOTSTRAP CONFIDENCE INTERVALS

In this section, we will look at confidence intervals using bootstrap re-sampling. Bootstrapping is particularly useful when data is sampled from an unknown distribution. Unlike the normal and t-distributions used in UNIT 4, Bootstrapping requires fewer assumptions for inference.

 

Lifting yourself by the bootstraps…
TOPICS COVERED
  • Bootstrap Population
  • Resampling Procedure
  • CI using Percentile Method
  • CI using Plug-in Method
LEARNING OUTCOMES
  • Calculate and interpret confidence intervals using bootstrap re-sampling methods
  • Use technology to calculate confidence intervals

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Statistics Study Guide Copyright © by Ram Subedi is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

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