Suppose we use the same force measurements above and were pulling a 1.3 kg mass block. Using the same method, what would be the value of our coefficient of friction? (let's ignore the uncertainty in mass for now as it is negligible) O 0.197 + 0.02 O 0.197 + 0.01 O 0.197 + 0.002 O 0.197 + 0.001

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Each measurement we take has a level of uncertainty in it. The smaller the uncertainty, the larger the
precision our measurement has. Let's revisit how one might go about estimating the uncertainty in a
measurement.
If we assume our instrument is properly calibrated and we are not introducing systematic error
through improper techniques, then if we take enough measurements, the average of these
measurements will be around the true value. The upper and lower bounds of these measurements
would then give us one method for determining our measuring device's uncertainty. (This of course
is only true for a large set of measurements, but the approximation is good enough for now to get us
started).
For example, say we perform last week's experiment of pulling a block at a constant velocity with a
force sensor across another rough surface. We take the following five measurements:
F, = {2.51 N, 2.53 N, 2.50 N, 2.54 N, 2.49 N}
The average of this dataset is
F, = 2.51 N
Now we have the choice of finding the standard deviation of the set, but this is less true since
there's only five data points so it is sufficient to use the furthest distance from our average here as
an estimate of uncertainty, i.e.
2.53 – 2.51 = 0.02 N F, = 2.51 + 0.02 N
Transcribed Image Text:Each measurement we take has a level of uncertainty in it. The smaller the uncertainty, the larger the precision our measurement has. Let's revisit how one might go about estimating the uncertainty in a measurement. If we assume our instrument is properly calibrated and we are not introducing systematic error through improper techniques, then if we take enough measurements, the average of these measurements will be around the true value. The upper and lower bounds of these measurements would then give us one method for determining our measuring device's uncertainty. (This of course is only true for a large set of measurements, but the approximation is good enough for now to get us started). For example, say we perform last week's experiment of pulling a block at a constant velocity with a force sensor across another rough surface. We take the following five measurements: F, = {2.51 N, 2.53 N, 2.50 N, 2.54 N, 2.49 N} The average of this dataset is F, = 2.51 N Now we have the choice of finding the standard deviation of the set, but this is less true since there's only five data points so it is sufficient to use the furthest distance from our average here as an estimate of uncertainty, i.e. 2.53 – 2.51 = 0.02 N F, = 2.51 + 0.02 N
Suppose we use the same force measurements above and were pulling a 1.3 kg mass block. Using
the same method, what would be the value of our coefficient of friction?
(let's ignore the uncertainty in mass for now as it is negligible)
O 0.197 + 0.02
O 0.197 +0.01
O 0.197 + 0.002
O 0.197 + 0.001
Transcribed Image Text:Suppose we use the same force measurements above and were pulling a 1.3 kg mass block. Using the same method, what would be the value of our coefficient of friction? (let's ignore the uncertainty in mass for now as it is negligible) O 0.197 + 0.02 O 0.197 +0.01 O 0.197 + 0.002 O 0.197 + 0.001
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