Subscribe Bookmark RSS Feed
Chrismtoy

Staff

Joined:

Jun 14, 2017

Bootstrapping Using JMP® Pro with Applications to Six Sigma Projects and Academic Statistics Courses

 Bootstrapping Using JMP® Pro with Applications to Six Sigma Projects and Academic Statistics Courses

 

Philip J. Ramsey, PhD, Owner, North Haven Group, and Professor, University of New Hampshire
Mia Stephens, JMP Academic Ambassador, SAS

In the talk, we will discuss and demonstrate the JMP Pro implementation of bootstrapping via applications in Six Sigma projects using actual case studies, and in academic statistic courses to motivate concepts of sampling distributions and statistical inference. In addition, a number of easy-to-implement extensions of the JMP Pro bootstrapping capabilities will be provided, such as generating bootstrapped t confidence intervals and bootstrapped hypothesis tests as discussed by Hall and Wilson (1991). These bootstrapped t confidence intervals and hypothesis tests do not require distributional assumptions and therefore often have a distinct advantage over more conventional inferential methods.

Article Labels
Article Tags
  • Find more articles tagged with:
Contributors