Hello Melinda, thank you for your reply and for pointing me to the data. I have a question --what was the alternative hypothesis used? I'm thinking that it should be that the proportion of Correct Answers > 0.3333, because that is evidence that there is truly a difference between products A and B. The triangle test is a discriminatory test, so we care about whether panelist choose the correct answer more than would be expected by chance. [cid:image001.png@01D2D0B0.86FD89B0] When I ran the test with the one-sided alternative hypothesis, I got a slightly different probability than was in the Distribution script supplied with the sample data. Not sure if this 2-sided Chi-Square test was intended to represent a triangle test. [cid:image002.png@01D2D0B0.86FD89B0] Regards, Paul ... View more

Adding sensory tests is a nice feature.  I use triangle tests a lot. How do I access the example for the Triangle Test?  I have the add-in installed, and can open it. However, I don't see where the sample data is installed -- I looked in the Sample Data Library,is that where it's located?   Thanks, Paul ... View more

Perform your modeling in the Analyze>Fit Model >Personality: Parametric Survival -- it will add a dialog box to indicate which column contains the censor indicator values.  You can choose the distribution type as Normal (I think it defaults to Weibull) --  examine your residuals to see if your selected distribution is appropriate.  If you are unfamiliar with these Survival distributions, I would get in touch with JMP Support. ... View more

You have data that can be handled in the Qualtiy and Reliability platform.  Your < LOQ data is what's called 'left-censored'.  For these results, your value of LOQ really means LOQ OR LESS.  You need to add another column called "Censor" beside your results.  This is an indicator column, place a 1 next to all LOQ values, and a 0 beside the remaining values that all represent actual precision measurements.  See the link below for a 1-page summary to get a better idea. http://www.jmp.com/academic/pdf/learning/10_distribution_fitting.pdf ... View more