Physics / Metre bridge
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EXPERIMENT 08 · PHYSICS LABORATORY

Metre bridge lab report

A worked metre bridge lab report with simulated observation tables, graph, calculations, uncertainty and results.

WORKED EXAMPLE · SIMULATED OBSERVATIONS

A complete example report.

Simulated demonstration data.

This report shows the method and arithmetic. It is not evidence of a physical experiment. Replace its observations with your own measurements when preparing a real lab report.

Student: __________________Student ID: __________________Course: __________________Date: __________________Partner: __________________Instructor: __________________

1. Title and aim

Unknown resistance using a metre bridge. Determine an unknown resistance using balance lengths on a metre bridge and a straight-line graph.

2. Abstract

Five observations were generated from the ideal teaching model over the settings listed below. A straight-line fit gave an estimate of unknown resistance of 4.9875 Ω, differing by 0.250% from the model value. The reported scatter comes from scale rounding and any stated model approximation, not measured laboratory noise.

3. Apparatus and fixed settings

4. Theory and graph choice

Explore a null measurement instead of reading current directly. Change a known resistance, locate the balance point on a uniform wire and infer an unknown resistance from a ratio of lengths. All generated balances are simulated and use a 100.0 cm ideal wire.

R/S = l/(100 − l); (100 − l)/l = mS + b; R = 1/m

The calculation fits y = mx + b in SI units. The graph may display scaled axes for readability; those display factors are removed before calculating the physical result. The gradient has units Ω⁻¹.

5. Method

  1. Connect unknown R in the left gap and known S in the right gap. Mark the wire zero at the unknown side and use L = 100.0 cm.
  2. Select S, starting near 5 Ω in this model to place the expected null near the midpoint.
  3. Close the cell key and touch the jockey lightly at trial positions until galvanometer deflection passes through zero. In this simulation request the model balance reading.
  4. Record S and l to the shown resolution. Collect at least five distinct S values, preferably keeping physical balances around the central portion.
  5. For each reading calculate L − l and y = (L − l)/l. Fit y against S with a free intercept.
  6. Calculate R = 1/m in Ω and compare individual values S l/(L − l). In real apparatus interchange the gap resistors and use the reversed formula, then discuss end effects and uncertainties.

6. Observations and calculation table

All observations use fixed model settings. Values are rounded only at the instrument reading stage; further calculations use full precision. Repeated physical trials are not claimed.

Table 1. Five simulated measurements; x and y are in SI units.
No.Known resistance S (Ω)Null balance length l (cm)x (SI)y (SI)Fitted y (SI)Residual (SI)
12.566.72.500000.499250.498517.3993e-04
24.055.64.000000.798560.79926-7.0041e-04
35.050.05.000001.000000.999762.3769e-04
47.540.07.500001.500001.50101-0.00101
510.033.310.000002.003002.002277.3697e-04

Download the sample observations (CSV) ↓

7. Worked calculation for one observation

S = 2.5 Ω; l = 66.7 cm; other segment = 33.3 cm; y = (100 − l)/l = 0.499250. R = Sl/(100 − l) = 5.0075 Ω.

8. Graph, gradient and final calculation

0.351.750.804.001.256.251.708.502.1510.75Known resistance S (Ω)Length ratio (100 − l)/l

Dots show the sample observations. The line is the ordinary least-squares fit.

x̄ = 5.80000; ȳ = 1.16016
Σ(x − x̄)² = 35.30000
Σ(x − x̄)(y − ȳ) = 7.07768
m = Σ(x − x̄)(y − ȳ) / Σ(x − x̄)² = 0.20050075
b = ȳ − mx̄ = -0.00274142
R = 1/m = 1/(0.20050075) = 4.987513 Ω

9. Uncertainty and comparison

Percentage difference = |estimate − model value| / |model value| × 100 = 0.2497%. Percentage difference is not experimental uncertainty.

For n = 5 observations, Σresidual² = 2.6662e-06; s² = Σresidual²/(n − 2). Gradient standard error = √[s²/Σ(x − x̄)²] = 1.5867e-04. Intercept standard error = √[s²(1/n + x̄²/Σ(x − x̄)²)] = 0.00101.

Propagating only the relevant fit coefficient gives a fit-only standard error of 0.00395 Ω. This is a one-standard-error quantity under the regression assumptions. Deterministic rounded model data do not supply a complete physical uncertainty budget.

The balance-length scale is rounded to 0.1 cm. Contact and end resistances, wire nonuniformity and resistance-box tolerances are omitted. The transform (100−l)/l has nonlinear length uncertainty. A vertical equal-weight fit does not model shared scale errors. Interchange the resistances and repeat in a real lab.

10. Result and discussion

R = 4.9875 Ω
Model comparison value: 5.0000 Ω

The observations follow the stated model relationship. Check whether the intercept and residual pattern suggest a systematic offset or a missing approximation. Agreement with the model does not independently verify its input constants.

11. Precautions and limitations

The simulated wire is exactly uniform and 100.0 cm long. End resistances, jockey resistance, heating, thermoelectric offsets and galvanometer sensitivity are omitted. The unknown resistor is fixed at 5 Ω and known resistance settings are exact. Balance lengths are rounded to 0.1 cm; resulting fit scatter reflects quantization rather than a complete measurement uncertainty. The model places unknown R = 5 Ω on the left and known S on the right. It computes l = 100R/(R + S), rounded to 0.1 cm. The fitted graph uses x = S and y = (100 − l)/l, so resistance is 1/gradient. Range endpoints are available for sensitivity exploration; real measurements should favor central balances.

12. Conclusion

The worked example illustrates how to obtain unknown resistance from measurements, graph variables and a fitted coefficient. The estimate is 4.9875 Ω. A real experiment must additionally evaluate the apparatus-specific uncertainties and corrections described above.