This technical note accompanies the case/group on "The Lady Tasting Tea" (LTT). It describes how a Bayesian would update their prior probability for the chance the LTT can correctly recognize cups of tea based on whether the milk was added last or first.
This long-form note describe both a distinct model (LTT has p of 0.5 or 0.8) and a more complicated continuous model (p is beta dispersed). The abridged note (UVA-QA-0768) depict only the dissimilar model. The case/class itself provide a very useful comparison with which pupils can investigate the elements of statistical presumption.PUBLICATION DATE: June 13, 2011 PRODUCT #: UV6317-PDF-ENG
PUBLICATION DATE: June 13, 2011 PRODUCT #: UV6317-PDF-ENG
This is just an excerpt. This case is about TECHNOLOGY & OPERATIONS