Calculating Error in Linear Function b

AI Thread Summary
The discussion centers on calculating the error in the parameter b of a linear function derived from experimental data. The user is interpolating data points to create the function y=(a/b^2)x+c and seeks to determine the error in b given a standard error in y. They clarify that they are not using least squares fitting but rather a statistical method, referencing a program called "curve expert 1.3" for interpolation. The conversation highlights a limitation in assistance due to differing software usage among participants. Overall, the focus remains on the statistical approach to error calculation in linear functions.
TheDestroyer
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Hi,

When I'm doing an experiment,

If the result of the experiment was some points, which I interpolate to create the linear function:

y=(a/b^2) x+c

while y is a function of x: y=f(x)

If the standard error in y was (S), How can I calculate the error in b?

Thank you
 
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Are you using "least square fit" ?
 
No, I'm using the statistical way, you can see its law in the image I've attached,

(((n_points is the quantity of the used points, y_i is the y-coordinate of the point i due to experiment, f(x_i) is the y-coordinate of the point i due to the interpolated function, n_param is the repeat of every point which equals always one as I think in my experiment because every point is measured once)))

I'm using program named "curve expert 1.3" to interpolate the linear function, you can download it for free and check the errors details, i was not able to upload the detailed help file because it's big

Is this information enough?
 

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Well these programs are very often doing least square fit.. but the calculate it very fast hehe.

Least square fit is a statistical method.

Scince you are using a program that i don't use, i can't help you. sorry.
 
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