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Uncertainty in a Gradient and Intercept

When a gradient or y-intercept gives a physical quantity, the best-fit and worst-fit lines give its uncertainty.Uncertainty in the gradient: the absolute uncertainty is the difference between the gradients of the best-fit and worst-fit lines.
percentage uncertainty = (|best gradient − worst gradient| ÷ best gradient) × 100%
Uncertainty in the y-intercept: the absolute uncertainty is the difference between the y-intercepts of the best-fit and worst-fit lines.
uncertainty in intercept = |best intercept − worst intercept|
Worked example: The best-fit line has gradient 2.0 and y-intercept 0.2. The worst-fit line has gradient 2.25 and y-intercept −0.55.
• Absolute uncertainty in gradient = 2.25 − 2.0 = 0.25
• Percentage uncertainty = 0.25 ÷ 2.0 × 100% = 12.5%
• Uncertainty in intercept = 0.2 − (−0.55) = 0.75, so the intercept is 0.2 ± 0.75. This range includes zero, so the data are consistent with the line passing through the origin.Using the gradient: if the gradient is multiplied or divided by other measured quantities, add their percentage uncertainties. For example, in a resistivity experiment, ρ = gradient × A. If the gradient has a 12.5% uncertainty and the cross-sectional area A has 1.5%, then ρ has a percentage uncertainty of 12.5% + 1.5% = 14%. A quantity equal to 1 ÷ gradient has the same percentage uncertainty as the gradient.If the x-axis does not start at zero, calculate each intercept using c = y − mx with a point on that line.

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Specification: OCR Physics A (H156), AS-level, 2.2.1 Measurements and uncertainties. Topic: Measurements and Uncertainties.

Key terms in this lesson

resultant
The single force or vector that has the same effect as two or more forces or vectors acting together.
acceleration
The rate of change of velocity of an object.

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