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Mar 20, 2014 at 23:39 comment added dmckee --- ex-moderator kitten The trouble you have here is not knowing how the instrument responds when $\frac{\mathrm{d}x}{\mathrm{d}t}\Delta t > \Delta x$ ($\Delta t$ being the time it takes the instrument to fix a reading), which is possible with the parameters you state. I'm a bit beyond my comfort zone on this, but I'd guess that the way to be sure you have the right treatment with simple tools is to do an error weighted fit where the specified $\Delta x$ feeds into the error and then read the resulting parameters from the fit. You might ask on Cross Validated instead.
Mar 20, 2014 at 17:02 comment added petebachant The amplitude of oscillation can range from $\approx 5 \Delta x$ to $\approx 100 \Delta x$, and as I said in the comment above, the sampling frequency is about 1000 times the oscillation frequency.
Mar 20, 2014 at 15:14 answer added DavePhD timeline score: 1
Mar 20, 2014 at 14:54 comment added dmckee --- ex-moderator kitten You haven't answer either of the important questions here. How does $\Delta x$ compare to the amplitude of the oscillation? And, how does the sampling rate compare to the frequency of oscillation? Without both those pieces of information no one can even begin to advise you, because these questions are answered by understanding the mathematics of the situation.
Mar 20, 2014 at 2:12 comment added petebachant I am getting on the order of 1000 samples per period, sampling for about 10 periods. I don't have much desire to fit a sine function to the data, as I am ultimately interested in the mean value. I am just confused on how to report the error of the mean.
Mar 20, 2014 at 2:10 review First posts
Mar 20, 2014 at 2:11
Mar 20, 2014 at 2:06 comment added DavePhD How does the period of sinusoidal function compare to the time it takes to make a measurement of x? Can you fit the data to a sinusoidal function instead of just taking the mean?
Mar 20, 2014 at 1:52 history asked petebachant CC BY-SA 3.0