Mass — Question 9

Section 5-4 · Physics pages 688–689

Question 9 Hard measurement bounds produce an interval of possible masses A calibration supplies independent hard bounds 9.8 ≤F ≤10.2 N and 1.9 ≤a ≤2.1 m/s2. The vectors are collinear in the same direction, and m = F/a. a (m/s2) F (N) 1.9 2.1 9.8 10.2 nominal Magnified allowed region; axes are truncated and independent hard bounds fill the rectangle. (a) Find the tight lower and upper mass bounds. (b) Compare the central-value estimate with the interval. (c) Why should the interval not automatically be called a one-standard-deviation uncertainty?
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Question 9 - Solution Hard measurement bounds produce an interval of possible masses a (m/s2) F (N) 1.9 2.1 9.8 10.2 nominal (a) Use monotonicity of the ratio. mmin = Fmin amax = 9.8 2.1 = 4.667 kg , mmax = 10.2 1.9 = 5.368 kg The minimum is 9.8/2.1 = 4.667 kg and maximum is 10.2/1.9 = 5.368 kg. Both extreme combinations are allowed by independent hard bounds. (b) Compute the central estimate separately. m0 = 10 2 = 5 kg, m −m0 ∈[−0.333, 0.368] kg The nominal ratio is 10/2 = 5 kg, inside the interval. The deviations from 5 kg are about −0.333 and +0.368 kg, not exactly symmetric. (c) Preserve the meaning of the input. m ∈ [Fmin amax , Fmax amin ] (F, a > 0) Hard bounds assert allowed ranges, not a probability distribution. No standard deviation or confidence level is supplied, so statistical language would add an unsupported assumption.

Question 9

Hard measurement bounds produce an interval of possible masses

A calibration supplies independent hard bounds 9.8≤F≤10.29.8\le F\le10.2 N and 1.9≤a≤2.11.9\le a\le2.1 m/s2^2. The vectors are collinear in the same direction, and m=F/am=F/a.

Diagram shown in the original SVG worksheet.

  1. Find the tight lower and upper mass bounds.

  2. Compare the central-value estimate with the interval.

  3. Why should the interval not automatically be called a one-standard-deviation uncertainty?

Question 9 - Solution

Hard measurement bounds produce an interval of possible masses

Diagram shown in the original SVG worksheet.

(a) Use monotonicity of the ratio.

mmin=Fminamax=9.82.1=4.667kg,mmax=10.21.9=5.368kg\boxed{m_{\min}=\frac{F_{\min}}{a_{\max}}=\frac{9.8}{2.1}=4.667\,\mathrm{kg}},\quad m_{\max}=\frac{10.2}{1.9}=5.368\,\mathrm{kg} The minimum is 9.8/2.1=4.6679.8/2.1=4.667 kg and maximum is 10.2/1.9=5.36810.2/1.9=5.368 kg. Both extreme combinations are allowed by independent hard bounds.

(b) Compute the central estimate separately.

m0=102=5kg,m−m0∈[−0.333,0.368]kgm_0=\frac{10}{2}=5\,\mathrm{kg},\quad m-m_0\in[-0.333,0.368]\,\mathrm{kg} The nominal ratio is 10/2=510/2=5 kg, inside the interval. The deviations from 5 kg are about −0.333-0.333 and +0.368+0.368 kg, not exactly symmetric.

(c) Preserve the meaning of the input.

m∈[Fminamax,Fmaxamin](F,a>0)m\in\left[\frac{F_{\min}}{a_{\max}},\frac{F_{\max}}{a_{\min}}\right]\quad(F,a>0) Hard bounds assert allowed ranges, not a probability distribution. No standard deviation or confidence level is supplied, so statistical language would add an unsupported assumption.