We had the gang in town this Thanksgiving, and a great time was had by all. We deep-fried the turkey again, which I highly recommend.
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To keep ourselves occupied we timed how long it took the oil to reach cooking temperature – 350 degrees F (about 45 minutes in case you’re curious).
Because I’m a geek, we also took intermediate measurements so we could develop a predictive model[1] for next year. Of course, we didn’t record ambient conditions (temperature, windspeed) or monitor the flowrate of propane, but suffice it to say that it was “cold” and “windy” and the gas was on “high.”
To top off the weekend of food gluttony, Kath and I tried our hand at making gnocci, which turned out wonderfully.
Check out the rest of the photo album with pics of the family, the menu, and the dessert spread.
- -0.00000023T3 + 0.00024T2 + 0.09T – 8.06, where T is temperature in degrees F and the result is time in minutes [back]
The coefficient on that cubic term looks dubious at best… please tell me you had more than 4 data points…
I figured that this post would set off your six-sigma sense.
We took 11 data points – every 25 degrees from 75F to 350F. It’s pretty much a straight line, but where’s the fun in that?
BTW, fitting the data with a second-order polynomial looks like this:
0.000093T2 + 0.12T – 9.6
Next to Thor the fryer looks so tiny! Looks like a delicious, fun, inexplicably mathematical holiday.
See you later this month!
H
P.S. You had me at “bourbon chocolate pie….”