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Chemistry Forums for Students => Analytical Chemistry Forum => Topic started by: daaniiell14 on February 18, 2020, 01:11:56 PM

In our kinetics lab we are plotting [tex] ln\frac{ A_{inf}A }{ A_{inf} } [/tex] against kt, i.e solving an pseudo first order reacting to find a rate constant. The problem however is finding out how the different errors (uncertainties) of the stuff in the ln term get translated to uncertainties in the y axis when i plot these.
I have tried using the error propagation rules to first solve for the numerator and then the entire paranthesis. The uncertainties is for A(inf)=0,008328 and A=0,05 and A(inf)=2,082 is just another constant so the only variable is A.
Trying to use the natural logarithm error propagation law then just causes chaos because my A is in the denominator which means that with higher Absorbance values for some reason my error gets larger and larger even though logically it should be the opposite since an error in 0,05 impacts A=0.1 more than A=2.0?

Are your two terms linked as independent pairs? I.e., do you obtain A and A_{inf} values for three independent experiments? If that's the case I would just calculate three values by your equation and taken the std. deviation of the mean as your over all error.
I'm no statistician but I only use error propagation if the measurements/values are decoupled from each other.

A relative error in a logarithm propagates as an absolute error. That's tricky. That is, 1% error in a log becomes 0.01 error, whether the 1% accuracy is on camels or on koalas.
This implies that the result of a log has usually no unit. And for instance, a relative error on a pH has no meaning.