CHIP Error Tolerance
In all current CHIP courses except for the Prelabs area of
CHIP152, the default
tolerance allowed for essentially all of the numerical answers is
1 % of the correct answer. Please read on to see what
correct answer refers to as far as these CHIP problems.
For tolerance policy in CHIP152 Prelabs, please refer to the special
instructions provided within the Prelabs area of CHIP152 site;
the instructions provided here are for other CHIP courses.
-
How CHIP correct answers are arrived at:
Unless otherwise noted, treat all numerical values given in CHIP
problems as if they were exact. Use the physical and other constants
as provided in the tables linked from CHIP or in your texts. Do not
round the values at intermediate stages. Enter at least 3 significant
figures in all numerical answers you put in CHIP answer boxes.
-
1 % error tolerance:
1 % error tolerance means that any answer which is within 1 %
deviation in either direction from the correct answer as above will be
accepted as correct. In cases where the correct answer happens to be
either anomalously small or even zero for some randomly generated
input values in the problem, we try to allow a reasonable absolute tolerance
rather than the default 1 %. Also for occasional problems which clearly
demand more (or less) accuracy, this limit may be tightened or relaxed
as necessary (and a statement to this effect will be provided).
-
Common mistakes:
- If a number calculated for one part of the problem is to be used to
calculate the answer for another part, be sure to use all the digits
you calculated for the first number for calculating the second, even though
you only need to enter each number into the answer boxes to 3 significant
figures.
- For evaluating trignometric functions, if you need to use
explicitly, do not approximate
it to 3.14, but rather use 3.14159 (or better). This is particularly true
for operations like sin(2
ft) where
ft can be large.
-
Is physics about giving many significant digits?
No! Physics is not about calculating many digits per se,
but it is about analyzing the essential features of a problem, applying
the underlying concepts, and obtaining quantitative results. The
result in numerical form must be given only to the precision
warranted by the input data. However, the CHIP exercises are providing
a hypothetical environment where all input data are treated as
if they were exact - primarily because the original sources of many
of the CHIP problems do not consistently specify the accuracies
of the input numbers and also because of the need to produce randomized
input numbers. In light of this situation, we decided that CHIP
exercises will mainly test your understanding of which concepts are
relevant and how they apply quantitatively - rather than the specific
relationships between the precision of the input data and that of the
resulting predictions.