This preview shows pages 1–3. Sign up to view the full content.
Ross Miller
503290136
Lab 1: Statistics and Error Propagation
Partners: Sam Ahn and Andre Svadjian
TA: Steve Suh
Session 6
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentIntroduction:
This lab was designed to show us how to get data with Lab View and analyze the
effectiveness of the data acquired, this lab also shows the .
Many errors may be present
from measuring the data, including errors with the instruments used, physical errors,
errors caused by humans, and even the uncertainty principle may affect the use of your
data.
This experiment teaches about error starting with really easy analyses and moves
into really advanced error analysis by the end.
We began by setting up the noise circuit and at a sample rate of 10,000 points per second
we measured 10, 100, 1000, and 10,000 points, each 5 times and recorded the man and
the standard deviation for each to compare.
Next we simultaneously sampled 2 separate random noises, then we simultaneously
sampled identical noise functions and calculated the correlation and covariance between
the two.
Thirdly we measured two independent noise signals and added the two, then we sampled
two identical wake signals and the sum of the two, then we sampled a constant battery
signal, a noise signal, and the sum of the two.
We found the mean and standard deviation
for these three measured sets, and we drew a histogram showing the noise signal and the
sum of the battery and the noise signal.
Finally we want to measure the error propagated from the addition of a fluctuating
current, given by Ohm’s law I=V/R, where both the voltage and the resistance are
fluctuating.
To do this first we find the error when only the voltage fluctuates, then we
This is the end of the preview. Sign up
to
access the rest of the document.
 Spring '10
 CARTER
 Physics

Click to edit the document details