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.
UNIT CONTENTS
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
