Chi-squared and reduced Chi-squared

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SUMMARY

The discussion centers on the application of Chi-squared and reduced Chi-squared equations in evaluating the "goodness of fit" in physics experiments, specifically referencing the text "Data Analysis and Error Reduction" by Bevington. It is established that the Chi-squared value should be close to zero, indicating minimal deviation between observed and expected values, while the reduced Chi-squared should approximate 1, reflecting an appropriate fit relative to the degrees of freedom. The confusion arises from the relationship between these two metrics, particularly the division of Chi-squared by the degrees of freedom.

PREREQUISITES
  • Understanding of Chi-squared statistical tests
  • Familiarity with degrees of freedom in statistical analysis
  • Basic knowledge of error analysis in experimental physics
  • Proficiency in using the text "Data Analysis and Error Reduction" by Bevington
NEXT STEPS
  • Study the derivation and applications of the Chi-squared test
  • Learn about the interpretation of reduced Chi-squared values in model fitting
  • Explore examples of goodness of fit tests in experimental data analysis
  • Investigate alternative statistical methods for assessing model fit
USEFUL FOR

Physics students, researchers conducting experimental analysis, and statisticians interested in model fitting and error assessment will benefit from this discussion.

Liquidxlax
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In my physics honours lab to check our "goodness of fit" we have to use the Chi-squared and reduced Chi-squared equations.

For the Lab we use the text Bevington Data analysis and error reduction. I'm having a problem on determining whether or not my chi-squared values are good because the book states that chi-squared should be close to zero while the reduced chi-squared should be close to 1.

this obviously doesn't make sense because you divide chi-squared by the number of degrees of freedom which is a positive integer number.

Can somebody please explain to me the meaning of both reduced and chi-squared numbers?
 
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Liquidxlax said:
In my physics honours lab to check our "goodness of fit" we have to use the Chi-squared and reduced Chi-squared equations.

For the Lab we use the text Bevington Data analysis and error reduction. I'm having a problem on determining whether or not my chi-squared values are good because the book states that chi-squared should be close to zero while the reduced chi-squared should be close to 1.

this obviously doesn't make sense because you divide chi-squared by the number of degrees of freedom which is a positive integer number.

Can somebody please explain to me the meaning of both reduced and chi-squared numbers?

I am not sure about the reduced chi-squared, but since you are measuring variation between expected and observed, it makes sense intuitively that the variation should be minimized (and hence close to zero).

Can you give the definition of a reduced chi-square distribution and any sample statistics that you have to calculate?
 

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