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PHY 2053C Finаl Exаm Lаb Data Free Respоnse PHY 2053C Final Exam Lab Data Free Respоnse Newtоn’s Laws, Friction, and Experimental Error This question is worth 10 points. Use the lab setup, data collection method, and data table to determine what likely went wrong in the lab. Instructions Analyze the lab setup, how the data were collected, and the provided data. Your response should include calculations, comparisons to expected values, and a clear claim supported by data/evidence. Lab Scenario A group of students investigated a half Atwood machine. A cart on a horizontal track was connected by a string over a pulley to a hanging mass. The students expected the system acceleration to follow the frictionless model a = mhg / (mcart + mh). The motion sensor recorded the cart’s position over time, and the students used the slope of the velocity-time graph to determine acceleration. Lab Setup and Data Collection The students carefully changed the cart mass and hanging mass between trials. However, they did not level the track or test for friction before collecting data. They assumed the string and pulley were ideal and that the track was frictionless. The same cart, track, pulley, and motion sensor were used for every trial. Collected Data Trial Cart Mass, mcart (kg) Hanging Mass, mh (kg) Measured Acceleration (m/s2) Expected Acceleration if Frictionless (m/s2) A1.200.201.051.40 B1.200.301.551.96 C1.200.402.042.45 D1.600.301.201.55 E2.000.300.941.28 Response Questions For at least two trials, calculate the difference between the expected acceleration and the measured acceleration. Determine whether the measured acceleration is consistently higher, consistently lower, or randomly different from the expected acceleration. Use the pattern in the data to identify the most likely problem with the lab setup or assumptions. Explain why this problem would cause the measured acceleration to differ from the expected acceleration. Support your claim with quantitative evidence from the data table. Describe one change the students should make before repeating the lab. Support your claim with evidence A strong response identifies the most likely lab error and uses quantitative evidence from the data to justify the conclusion.