Calculating Land Area and Confidence Interval with Uncertainty Propagation

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SUMMARY

The discussion focuses on calculating the area of a rectangular parcel of land using measurements of two sides, X and Y, along with their respective standard deviations and sample sizes. The area is estimated using the formula for propagation of uncertainty, specifically δz = √((∂z/∂x)dx)² + ((∂z/∂y)dy)². The challenge presented is how to incorporate the measurement accuracy of the scaled chain, which is accurate to within 0.5%. The uncertainty distribution is debated, with considerations for both Gaussian and uniform distributions impacting the final confidence interval at 95%.

PREREQUISITES
  • Understanding of basic statistics, including mean, standard deviation, and sample size.
  • Familiarity with the propagation of uncertainty formula.
  • Knowledge of confidence intervals and their calculation.
  • Concept of measurement accuracy and its impact on data interpretation.
NEXT STEPS
  • Research the application of the propagation of uncertainty formula in practical scenarios.
  • Learn about Gaussian versus uniform distributions and their implications in measurement accuracy.
  • Study methods for calculating confidence intervals for derived quantities.
  • Explore statistical software tools like R or Python for performing uncertainty analysis.
USEFUL FOR

Students in statistics or engineering fields, professionals involved in land surveying, and anyone interested in measurement accuracy and uncertainty propagation in calculations.

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Homework Statement



The area of a flat, rectangular parcel of land is computed from the measurement of the length of two
adjacent sides, X and Y. Measurements are made using a scaled chain accurate to within 0.5% over its
indicated length. The two sides are measured several times with the following results:

X = 556 m
Stdev =5.3 m
n = 8

Y = 222 m
stdev = 2.1 m
n = 7


Estimate the area of the land and state the confidence interval of that measurement at 95%.

Homework Equations



propagation of uncertainty formula


[tex] \delta z = \sqrt {\left( {\frac{{\partial z}}{{\partial x}}dx} \right)^2 + \left( {\frac{{\partial z}}{{\partial y}}dy} \right)^2 } [/tex]



The Attempt at a Solution



My issue here is how to account for the accuracy of the chain in the problem statement. I can easily find the values of X&Y at 95% confidence using the mean value and stdev and plug them into the uncertainty formula. What do I do with the 0.5%?
 
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It's not clear how the distribution for the scale looks like. If it's a Gaussian distribution with a standard deviation of 0.5 you can simply add that in quadrature. If it's a uniform distribution within +-0.5% it's messy.
 

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