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October 29th, 2017, 08:42 AM  #1 
Newbie Joined: Oct 2017 From: London Posts: 1 Thanks: 0  Maximum absolute error when calculating a difference using two rounded down values.
I have a maths question from an old text book where I disagree with the answer given. You have 2 pins. One is measured as 12mm and the other is 14mm. The values measured are rounded down to the nearest mm. That means the true length of each pin "l1" and "l2" by my calculation would be: 12 <= l1 < 13 14 <= l2 < 15 That means the actual error for each pin is: 1 < E1 <= 0 1 < E2 <= 0 That means that the maximum absloute error for each pin is just under 1mm. My problem is what is the maximum absolute error when calculating the difference between the two pins? Using the given values: 14mm  12mm = 2mm. The largest l1 can be is just under 13mm and the lowest l2 can be is 14mm giving a difference of 14mm  13mm = 1mm. The lowest l1 can be is 12mm and the largest l2 can be is 15mm giving a difference of 15mm  12mm = 3mm. Therefore I calculate the true difference as: 1 < (l2l1) < 3 That means the actual error when calculating the difference is: 1 < E3 < 1 And so the maximum absolute error in calculating the difference is just under 1mm. I believe the book says that maximum absolute error in calculating the difference should be just under 2mm (combining the two errors of each measurement) but I can't find a way to combine the errors in this case. Anyway I needed to check if I was right or if there was something I'm missing before moving on. Thank you in advance for any replies. 
October 29th, 2017, 06:16 PM  #2 
Senior Member Joined: May 2016 From: USA Posts: 1,310 Thanks: 550 
Asked and answered at FMH


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absolute, calculating, difference, error, maximum, rounded, values 
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