Measuring Things — Question 6

Section 1-1 · Physics pages 22–23

Question 6 Measure many to infer one Identical rigid sheets are stacked without gaps or compression. A height instrument adds the same unknown offset b to every stack reading. Its model is HN = Nt + b, where t is one sheet’s thickness and N is an exact count. Each displayed height also has a worst-case reading-error bound of ±0.10 mm. The measured pairs (N, HN) are (20, 2.80 mm), (50, 6.40 mm), and (80, 10.00 mm). N H (mm) 0 20 40 60 80 2 4 6 8 10 Number of sheets N versus total indicated height H; uncertainty bars are omitted for clarity. (a) Use the 20-sheet and 80-sheet central readings to determine t and b. Does the 50-sheet central reading support the model? (b) Bound t using the two endpoint readings. Do not divide the offset by the number of sheets or assume random-error cancellation. (c) Evaluate the shortcut t = H80/80. Explain its error here and one physical condition whose failure would invalidate the stacking model even after the offset is removed.
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Question 6 - Solution Measure many to infer one N H (mm) 0 20 40 60 80 2 4 6 8 10 Intercept b = 0.40 mm (a) Differences isolate the thickness. Subtracting H20 = 20t + b from H80 = 80t + b removes b: t = 10.00 −2.80 80 −20 = 0.120 mm , b = 2.80 −20(0.120) = 0.40 mm . The predicted middle reading is 50(0.120) + 0.40 = 6.40 mm, matching the data. This is a consis- tency check, not proof that the model holds for every stack. (b) Propagate worst-case bounds. δtmax = 0.10 + 0.10 80 −20 mm = 1 300 mm. The difference H80 −H20 lies in [7.00, 7.40] mm because its two reading bounds can oppose each other. Dividing by the exact count difference, 60, t ∈[0.1166, 0.1233] mm , δt = 0.20 60 = 0.0033 mm. This is a bounded-error interval, not a statistical standard deviation. The third reading is compat- ible with both extreme slopes; it does not tighten this endpoint-derived interval here. (c) Diagnose the shortcut. HN N = t + b N , b 80 = 0.40 80 mm = 0.005 mm. H80/80 = 0.125 mm is too large by 0.005 mm because it includes b/80. Using more sheets reduces this offset contribution but does not justify ignoring it. Gaps, unequal sheet thicknesses, or com- pression that depends on stack size could violate HN = Nt + b; these require separate physical controls.

Question 6

Measure many to infer one

Identical rigid sheets are stacked without gaps or compression. A height instrument adds the same unknown offset bb to every stack reading. Its model is HN=Nt+b,H_N=Nt+b, where tt is one sheet’s thickness and NN is an exact count. Each displayed height also has a worst-case reading-error bound of ±0.10\pm0.10 mm. The measured pairs (N,HN)(N,H_N) are (20,2.80mm)(20,2.80\ \mathrm{mm}), (50,6.40mm)(50,6.40\ \mathrm{mm}), and (80,10.00mm)(80,10.00\ \mathrm{mm}).

Diagram shown in the original SVG worksheet.

  1. Use the 20-sheet and 80-sheet central readings to determine tt and bb. Does the 50-sheet central reading support the model?

  2. Bound tt using the two endpoint readings. Do not divide the offset by the number of sheets or assume random-error cancellation.

  3. Evaluate the shortcut t=H80/80t=H_{80}/80. Explain its error here and one physical condition whose failure would invalidate the stacking model even after the offset is removed.

Question 6 - Solution

Measure many to infer one

Diagram shown in the original SVG worksheet.

(a) Differences isolate the thickness.

Subtracting H20=20t+bH_{20}=20t+b from H80=80t+bH_{80}=80t+b removes bb: t=10.00−2.8080−20=0.120mm,b=2.80−20(0.120)=0.40mm.t=\frac{10.00-2.80}{80-20}=\boxed{0.120\ \mathrm{mm}},\qquad b=2.80-20(0.120)=\boxed{0.40\ \mathrm{mm}}. The predicted middle reading is 50(0.120)+0.40=6.4050(0.120)+0.40=6.40 mm, matching the data. This is a consistency check, not proof that the model holds for every stack.

(b) Propagate worst-case bounds.

δtmax=0.10+0.1080−20mm=1300mm.\delta t_{\max}=\frac{0.10+0.10}{80-20}\ \mathrm{mm}=\frac{1}{300}\ \mathrm{mm}.

The difference H80−H20H_{80}-H_{20} lies in [7.00,7.40][7.00,7.40] mm because its two reading bounds can oppose each other. Dividing by the exact count difference, 60, t∈[0.1166¯,0.1233¯]mm,δt=0.2060=0.0033¯mm.\boxed{t\in[0.116\overline6,\,0.123\overline3]\ \mathrm{mm}},\qquad \delta t=\frac{0.20}{60}=0.003\overline3\ \mathrm{mm}. This is a bounded-error interval, not a statistical standard deviation. The third reading is compatible with both extreme slopes; it does not tighten this endpoint-derived interval here.

(c) Diagnose the shortcut.

HNN=t+bN,b80=0.4080mm=0.005mm.\frac{H_N}{N}=t+\frac bN,\qquad\frac{b}{80}=\frac{0.40}{80}\ \mathrm{mm}=0.005\ \mathrm{mm}.

H80/80=0.125H_{80}/80=0.125 mm is too large by 0.0050.005 mm because it includes b/80b/80. Using more sheets reduces this offset contribution but does not justify ignoring it. Gaps, unequal sheet thicknesses, or compression that depends on stack size could violate HN=Nt+bH_N=Nt+b; these require separate physical controls.