Originally Posted by
rcnewb2004
Hmm... wondering if i got this right...
basically the Error is equal (average lap time) - (time of fastest lap)?
Coming from a highschool stats background... basing this on a crap assumption that lap times are approximately normally distributed, (i guess if we have many lap times, and keeping all else consistent (not really possible) it "should" approach a normal distribution. If someone has a real stats background... do correct me...), then the Error is basically half the "width" of the standard distribution curve?
The goal then is to decrease the error (making the "width" of the peak smaller)?
Could I re-understand this as measuring the standard deviation in lap times as a better indication of "better driver"?
Sorry for the questions... I get lost very easily...
Without even plotting, I can hazard a guess that lap times will not be normally distributed, even if you drop off the outliers to try and make it normally distributed you would not be able to use the Stormer error as a standard deviation. Alright, the Stormer error is derived from the fastest lap, in a normally distributed bell curve that fastest lap will be 3 standard deviations from the mean. If you are using 1 standard deviation as your indicator you will be 1/3rd the value of the Stormer error. Ultimately however, you are trying to narrow the width of the curve, but that doesn't change the fact that from 1 standard deviation from the mean in both directions, 68% of your laps will fall, from 2, 95% and 3, 99.7%.
Hey Bob, had a bad night Friday, I couldn't stop thinking about trying to turn my best laps for the thread, needless to say disaster struck. So here is my best qualifier:
Laps Time Fast
36 5:3.759 8.028
Stormer error: .291. Error from all the laps: .410
I still managed to qualify second and place second in the A.
TQ run:
Laps Time Fast
37 5:06.182 7.933
Stormer error: .172 Error from all the laps: .342