Testing gradient against a value

AI Thread Summary
To test if a gradient is significantly different from 1 using 25 pairs of values, a one-sample t-test is suggested, but it requires clarification on how to input multiple gradients. Typically, these pairs should be analyzed using a least-squares fitting algorithm to determine the best gradient and its associated error. The program "JLineFit" can assist with this analysis. A simpler method to assess significance is to check if the gradient's value and error do not include 1 within their range. Proper statistical analysis will provide a clearer understanding of the gradient's significance.
garytse86
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Homework Statement


I have 25 pairs of values. I have a gradient and want to test if this gradient is significantly different from 1. Which stats test do I use? I thought of using a one-sample t-test, but how are you meant to put 25 gradients in the test!? thanks...
 
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Why are there 25 gradients? If you have 25 pairs of values (all presumably obtained from the same experiment), you would normally put these pairs of values into a least-squares fitting algorithm to find the most suitable gradient and its error.

If you google "JLineFit" you'll find a program that can do this for you.

In its simplest form, you could assume it's signficantly different if the value and error on the gradient doesn't span a range encompassing a value of 1.
 

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