Work and Energy: predicted/measured from Force graph

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SUMMARY

The discussion centers on calculating the final speed of a cart based on work done by a rubber band, using DataStudio for data visualization. The mass of the cart is specified as 1.229 kg, and the relationship between work and kinetic energy is established through the equations ΔK=ΔW and ΔK=0.5Mv². Participants address the need to compute the percent difference between predicted and measured speeds, as well as the uncertainty in predicted speed using the standard deviation formula σv=εvpred * vpred. Key insights include the clarification that standard deviation cannot be computed from a single trial.

PREREQUISITES
  • Understanding of Newtonian mechanics, specifically work-energy principles.
  • Familiarity with DataStudio for data collection and graphing.
  • Knowledge of statistical concepts, particularly standard deviation and uncertainty calculations.
  • Ability to interpret graphs and extract quantitative data from them.
NEXT STEPS
  • Study the work-energy theorem in detail to understand its applications in physics experiments.
  • Learn how to use DataStudio effectively for capturing and analyzing experimental data.
  • Research methods for calculating uncertainty in measurements, including standard deviation and fractional uncertainty.
  • Explore advanced graph interpretation techniques to improve accuracy in data extraction from visual representations.
USEFUL FOR

Students in physics courses, educators teaching mechanics, and anyone involved in experimental data analysis and interpretation.

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Homework Statement


A screen grab of a DataStudio run with a cart being pulled by a rubber band connected to a force sensor attached to the end of the track is shown below. The two graphs have the same horizontal axis: position of the cart from the motion sensor. The vertical axis on one graph is velocity of the cart and on the other it is force measured by the force sensor. The DataStudio tools have been used to mark two points on the horizontal, and the area between the force data and the axis is shown in gray.

var_force_run2.PNG


The mass of the cart is 1.229 kg. The rest of the data can be obtained from the graph above. All answers below must be correct to 3 significant figures.

What is the final speed of the cart predicted by the work done by the rubber band, assuming that friction is negligible.

Find the percent difference between between the predicted and measured final speed, expressed as a percent of the measured speed.

Assume that the standard deviation in a collection of similar measurements to the one shown in the figure were σW = 0.114 J for the work W done by the rubber band. Given this uncertainty, calculate the uncertainty for the predicted speed

Homework Equations



ΔK=ΔW
ΔK= .5Mv2
σv= εvpred * vpred where ε is the fractional standard deviation.

The Attempt at a Solution



I'm not really sure what to do in this situation. I found the predicted v value by taking the work and setting it equal to the kinetic energy, and then I found the measured v by squinting and zooming into the graph and guessing final velocity. I used those two to get a percent difference, but I don't know how to get the standard deviation. I also don't know if I did the first two parts correctly. Thanks in advance for any help.
 
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The standard deviation cannot be computed for only one trial. Read the question more carefully.
 
Dr. Courtney said:
The standard deviation cannot be computed for only one trial. Read the question more carefully.

They're asking for the uncertainty of the predicted velocity, and using σ to depict that. Doesn't σ and uncertainty denote the standard deviation?
 

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