The sum of the squared residuals of four measurements of a geodetic baseline is 0.0188. What is the probable error of the baseline?

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Multiple Choice

The sum of the squared residuals of four measurements of a geodetic baseline is 0.0188. What is the probable error of the baseline?

Explanation:
When you have several measurements of the same baseline, you assess how spread out the results are around their average. The sum of squared residuals, here 0.0188, is a measure of that dispersion among the four readings. First estimate the standard deviation of the individual measurements: s^2 = SSR/(n−1) = 0.0188/3 = 0.0062667, so s ≈ 0.0792. The standard error of the mean (the uncertainty of the baseline length you would report as the result) is SE = s/√n = 0.0792/√4 = 0.0792/2 = 0.0396. The probable error of the baseline length is PE = 0.6745 × SE ≈ 0.6745 × 0.0396 ≈ 0.0267, which rounds to ±0.027. So the probable error of the baseline is about ±0.027 (in the same units as the measurements).

When you have several measurements of the same baseline, you assess how spread out the results are around their average. The sum of squared residuals, here 0.0188, is a measure of that dispersion among the four readings.

First estimate the standard deviation of the individual measurements: s^2 = SSR/(n−1) = 0.0188/3 = 0.0062667, so s ≈ 0.0792.

The standard error of the mean (the uncertainty of the baseline length you would report as the result) is SE = s/√n = 0.0792/√4 = 0.0792/2 = 0.0396.

The probable error of the baseline length is PE = 0.6745 × SE ≈ 0.6745 × 0.0396 ≈ 0.0267, which rounds to ±0.027.

So the probable error of the baseline is about ±0.027 (in the same units as the measurements).

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