Uncertainty In a Physics Experiment

AI Thread Summary
Calculating uncertainty in a physics experiment involving human timing can be challenging due to the variability in reaction times. The method of using the standard deviation of timing measurements to estimate uncertainty is valid, but it may not account for human reaction time accurately. A suggested alternative is to use a sound trigger instead of manual stopwatch operation, which can help eliminate human reaction time from the measurements. This approach involves recording a sound made at the predicted contact time and analyzing the waveform to determine timing more precisely. Overall, refining the method of measuring timing can lead to more reliable uncertainty values in experiments.
FrameOfMind
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Hello,

I'm trying to figure out a way to calculate a suitable uncertainty value for the accuracy of a human measuring timing values during an experiment.

The experiment was designed to determine the frictional force acting on a trolley as it is pulled along by a string attached to a falling weight. We took three measurements of the time for the trolley to pass a set distance after dropping the weight for each mass value. The mass was increased by 0.5kg for each test. Afterwards, we took the mean of the three values for each mass and used that in our further calculations for Acceleration, Force, and Friction.

For the uncertainty of the stopwatch itself, we took the smallest measurement of the stop watch (0.01s) and divided it by the smallest average time (in this case, 1.24s), then multiplied it by 100 to get the error percentage. However, we weren't really given a suitable method to determine the uncertainty of the human reaction when starting and stopping the stopwatch at the right time (I believe the method we were given was unsuitable, since we were told to click start/stop on the stop watch as quickly as possible, which I think doesn't really measure "reaction time", rather "how quickly can your finger press a button twice in quick succession?").

I've tried the following method to determine the human uncertainty:

Calculate the standard deviation for each of the sets of timing values, eg:
mean time = (1.25 + 1.28 + 1.19)/3 = 1.24
standard deviation = sqrt(((1.25 - 1.24)^2 + (1.28 - 1.24)^2 + (1.19 - 1.24)^2)/3) = ~0.037

Then I take the mean of all the standard deviations, and I arrive at a value of 0.02s.

Then I once again divide the uncertainty by the smallest average time and multiply by 100 to get the error percentage, then I add it to the rest of the error values to obtain the total error percentage. The value I obtained seems to be quite small, which intuitively seems quite unrealistic since I've heard the average human reaction time is roughly 0.2-0.25s. The overall error percentage is also only 3.362%, which seems a little too good to be true using such rudimentary equipment.

My question: is this the right method to use, or have I done something wrong? If not, what would you suggest I do to get a suitable uncertainty for the reaction time?

(By the way, this may seem like homework and that it doesn't belong in this particular section, but it isn't really. I don't actually have to go into this much detail for my assignment, I'm just genuinely interested in how I might figure this out.)
 
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How about instead of hitting a stopwatch button directly you just record a sharp crisp sound perhaps using something metallic on glass. Then analyse the waveform in something like Audacity to determine the time. You are not really measuring reaction time because you can see the object you are timing, approaching the trigger point. Therefore over a few runs and swinging your arm down in an arc to make the sound at the predicted contact time you should be able to eliminate the human reaction time from your experiment.

hope that made sense.
 
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