A Pause for Reflection — Question 10

Section 44-9 · Physics pages 7470–7471

Question 10 A model prediction needs an uncertainty before its residual can be judged A supplied model predicts R=.250 with independent theoretical uncertainty .010. An experiment measures R=.278 with statistical uncertainty .006 and systematic uncertainty .008, all treated as Gaussian. R model data Schematic; labels, not drawing lengths, specify the data. (a) Combine the experimental errors and calculate the model-data pull. (b) If statistical uncertainty falls by a factor of three, recompute the pull and explain the limited improvement.
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Question 10 - Solution A model prediction needs an uncertainty before its residual can be judged R model data (a) Method and calculation σexp = √ .0062 + .0082 = .010 . z = .028/ √ .0102 + .0102 = 1.97990 . (b) Interpretation and further calculation σexp,new = √ .0022 + .0082 = .00824621. znew = .028/ √ .0102 + .0082 + .0022 = 2.16025 . Physical check More events reduce statistical error but not the stated theory and systematic terms. Correlations would require a covariance calculation.

Question 10

A model prediction needs an uncertainty before its residual can be judged

A supplied model predicts R=.250 with independent theoretical uncertainty .010. An experiment measures R=.278 with statistical uncertainty .006 and systematic uncertainty .008, all treated as Gaussian.

Diagram shown in the original SVG worksheet.

  1. Combine the experimental errors and calculate the model-data pull.

  2. If statistical uncertainty falls by a factor of three, recompute the pull and explain the limited improvement.

Question 10 - Solution

A model prediction needs an uncertainty before its residual can be judged

Diagram shown in the original SVG worksheet.

(a) Method and calculation

σexp=.0062+.0082=.010.\boxed{\sigma_{\mathrm{exp}}=\sqrt{.006^2+.008^2}=.010}.z=.028/.0102+.0102=1.97990.\boxed{z=.028/\sqrt{.010^2+.010^2}=1.97990}.

(b) Interpretation and further calculation

σexp,new=.0022+.0082=.00824621.\sigma_{\mathrm{exp,new}}=\sqrt{.002^2+.008^2}=.00824621.znew=.028/.0102+.0082+.0022=2.16025.\boxed{z_{\mathrm{new}}=.028/\sqrt{.010^2+.008^2+.002^2}=2.16025}.

Physical check

More events reduce statistical error but not the stated theory and systematic terms. Correlations would require a covariance calculation.