PB&J please, but hold the jelly (and margarine) and put it on toast – a mixture design combined with a categorical factor


My colleague Pat Whitcomb just completed the first teach of Advanced Formulations: Combining Mixture & Process Variables.  It inspired me to develop a virtual experiment for optimizing my perfect peanut butter and jelly (PB&J) sandwich.  This was a staple for me and my six siblings when we were growing up.  Unfortunately, so far as I was concerned, my mother generously slathered margarine on the bread (always white in those days – no whole grains) and then thick layers of peanut butter and jelly (always grape).  As you see* in the response surfaces for overall liking [ 🙁 1-9 🙂 ], I prefer that none of the mixture ingredients (A: Peanut butter, B: Margarine, C: Jelly) be mixed, and I like the bread toasted.  This analysis was produced using the Combined design tab from Design-Expert® software version 8 released by Stat-Ease earlier this year.  I’d be happy to provide the data set, especially for anyone that may be hosting me for a PB&J dinner party. 😉

*Click to enlarge the plots so you can see the legend, etc.

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