Chi^2 Explained: Better Smaller or Larger Number?

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Chi-squared (Chi^2) is a statistical measure used to assess how well a model fits observed data. A larger Chi^2 value indicates a poor fit, suggesting that the model does not accurately describe the data. Conversely, a smaller Chi^2 value indicates a better fit, meaning the model closely aligns with the observed data. The discussion highlights the importance of selecting the correct model to achieve a low Chi^2 value for accurate data representation. Understanding Chi^2 is crucial for effective statistical analysis.
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Does anyone know what Chi^2 is? and if the smaller or larger number is better when computing data...I can't find an answer on the web
 
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Try typing: chi squared, it gets some results such as http://mathworld.wolfram.com/Chi-SquaredDistribution.html"
 
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Kalie said:
Does anyone know what Chi^2 is? and if the smaller or larger number is better when computing data...I can't find an answer on the web
Are you talking about statistics or electro-magnetism?

AM
 
Chi^2 tells how FAR the presumed fit is from actually DESCRIBING the data.
Chi^2 _much_ larger than 1 means you have the wrong model ...
 

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