mx6er2587
May26-09, 09:16 AM
1. The problem statement, all variables and given/known data
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%.
2. Relevant equations
propagation of uncertainty formula
\delta z = \sqrt {\left( {\frac{{\partial z}}{{\partial x}}dx} \right)^2 + \left( {\frac{{\partial z}}{{\partial y}}dy} \right)^2 }
3. 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%?
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%.
2. Relevant equations
propagation of uncertainty formula
\delta z = \sqrt {\left( {\frac{{\partial z}}{{\partial x}}dx} \right)^2 + \left( {\frac{{\partial z}}{{\partial y}}dy} \right)^2 }
3. 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%?