Experiment Description In this …show more content…
To do so we had to make sure it was properly plugged into the computer and placed it on the edge of a table making sure it was pointed away from all other tables and chairs. Next we used a meter stick to mark positions that were 1m and 2m away from the motion detector. To test this out one person in the group would stand in front of the detector to make sure that it was picking up that we were the correct distance away. In the last test we had to walk away slowly from the detector to obtain a constant velocity on a consistent basis. Once all of these tests were finished we could start to collect the data for our …show more content…
In loggerpro we used the function that allowed us to fit the graph with a line of best fit to obtain average velocity and standard deviation. The average velocity was .759m/s and the standard deviation was .406m/s. The next portion of the experiment has us do the same thing as in the previous part but walk faster this time. The purpose here is to compare graphs of high and low velocity. So my partner started at .5m and walked quickly away from the detector at a constant speed while I recorded the data. Next we decided to use linear fit to calculate the average velocity and uncertainty. The average velocity was .855m/s and the uncertainty was .344m/s. In the following part of the experiment the purpose was to compare graphs of negative and positive velocity. To do this, my partner stood 2m away from the detector and walked towards it at a constant velocity while I collected the data on the computer. Once again we chose linear fit to calculated the average velocity and uncertainty. The average velocity was -1.011m/s and the uncertainty was