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PHY 2053C Finаl Exаm Lаb Data Free Respоnse PHY 2053C Final Exam Lab Data Free Respоnse Oscillatiоns, Period, and Measurement 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 the period of a simple pendulum. They varied the length of the pendulum and timed 10 complete oscillations for each length. They then divided the total time by 10 to find the measured period. The students expected the period to follow T = 2π√(L/g), where g = 9.8 m/s2. Lab Setup and Data Collection The students measured the pendulum length from the top of the string to the bottom of the hanging mass. They released the pendulum from a small angle and used a stopwatch to time 10 oscillations. The same student operated the stopwatch for every trial. The expected periods in the table were calculated using the length values recorded by the students. Collected Data Trial Pendulum Length, L (m) Time for 10 Oscillations (s) Measured Period, T (s) Expected Period, T = 2π√(L/g) (s) A0.4014.21.421.27 B0.6017.31.731.55 C0.8020.02.001.79 D1.0022.42.242.01 E1.2024.52.452.20 Response Questions For at least two trials, calculate the percent difference between the measured period and the expected period. Determine whether the measured period is consistently higher, consistently lower, or randomly different from the expected period. Use the pattern in the data to identify the most likely problem with the lab setup or data collection method. Explain why this problem would cause the measured period to differ from the expected period. 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.