Improving Accuracy in Spring Constant Measurements: Tips and Considerations

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Homework Help Overview

The discussion revolves around measuring the spring constant k using experimental data from a spring's extension under varying masses. The student provides specific measurements of mass and corresponding extension, along with uncertainties in the extension measurements.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the method of least squares for fitting the data to find the spring constant and its uncertainties. Questions arise about the definition and calculation of Chi-squared (χ²) and its relevance to the fitting process.

Discussion Status

Some participants have provided guidance on how to approach the fitting process and the calculation of Chi-squared. There is an ongoing exploration of the fitting parameters and the associated probability, with no explicit consensus on the specific challenges faced by the original poster.

Contextual Notes

The original poster mentions uncertainties in the extension measurements but considers the uncertainty in mass to be negligible. There is an implication that the fitting process may present challenges that are not yet fully articulated.

Swamifez
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A student hangs masses on a spring and measures the spring's extension as a function of the applied force in order to find the spring constant k. Her measurements are:

Mass(kg): 200, 300, 400, 500, 600, 700, 800, 900
Extension (cm): 5.1, 5.5, 5.9, 6.8, 7.4, 7.5, 8.6, 9.4

There is an uncertainty of 0.2 inces in each measurment of the extension. The unccertainity in the masses is neglible. For a perfect string, the extension delta L of the spring will be related to the applied force by the relation kDelta L=F, where F=mg, and Delta L= L-L_0, L_0 is the unstretched length of the spring. Use these data and method of the least squares to find the spring constant k, the unstretched length of the spring L_0, and their uncertainties. Find Chi^2 for the fit and associated probability.
 
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what is Chi^2?
 
Do you know how to do the fit? Just least squares... Write the chi², just by writing down the sum of the squares of the distances from each point to the fitting line. Now, minimize for the fitting parameters.

For the associated probability, you have to put the resulting chi^2 into the appropriate chi^2 distribution... but I don't know yet where your real problem is...
 

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