Have you tried simulations? with something like Resampling Stats or Minitab?
WBW On 26 Sep 2001, Warren wrote: > Hi, > I've been teaching an introductory stats course for several years. > I always learn something from my students...hope they learn too. > One thing I've learned is that confidence intervals are very tough > for them. They can compute them, but why? > > Of course, we talk about confidence interval construction and I try > to explain the usual "95% of all intervals so constructed will in the > long run include the parameter...blah, blah". I've looked at the > Bayesian interpretation also but find this a bit hard for beginning > students. > > So, what is your best way to explain a CI? How do you explain it > without using some esoteric discussion of probability? > > Now, here's another question. If I roll 2 dice and > find the mean of the pips on the upturned faces. You can compute > sample standard deviations, but if you roll 2 alike the s.d. is 0. > So, you cannot compute a CI based on these samples. How would > you explain? > > Thanks, > > Warren > > > ================================================================= > Instructions for joining and leaving this list and remarks about > the problem of INAPPROPRIATE MESSAGES are available at > http://jse.stat.ncsu.edu/ > ================================================================= > ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
