A guide to Bootstrapping
This workshop introduces the bootstrapping process as a method for constructing a confidence interval for the population median. A hands-on activity and an introduction to using iNZight to construct bootstrap confidence intervals are included. We also look at the success rate of bootstrap confidence intervals containing the population parameter and construction of bootstrap confidence intervals for a mean and a difference between means/medians.
- Bootstrapping Part 2 Ppt with voice over Note that the sound quality may be variable due to the microphone position when recorded
- Boostrapping handout with answers
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