The mass (in (mathrm{kg}) ) of a soil specimen is measured to be (X=1.18 pm 0.02). After

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The mass (in \(\mathrm{kg}\) ) of a soil specimen is measured to be \(X=1.18 \pm 0.02\). After the sample is dried in an oven, the mass of the dried soil is measured to be \(Y=0.85 \pm 0.02\). Assume that \(X\) and \(Y\) come from normal populations and are unbiased. The water content of the soil is measured to be

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a. From what distributions is it appropriate to simulate values \(X^{*}\) and \(Y^{*}\) ?

b. Generate simulated samples of values \(X^{*}, Y^{*}\), and \(W^{*}\).

c. Use the simulated sample to estimate the standard deviation of \(W\).

d. Construct a normal probability plot for the values \(W^{*}\). Is it reasonable to assume that \(W\) is approximately normally distributed?

e. If appropriate, use the normal curve to find a 95\% confidence interval for the water content.

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