Question: // simulate pendulum motion T = 2pisqrt(l/g) => T^2 = 4Pi^2l/g => // I will vary length from 0.3 m to 1.5 in steps of

// simulate pendulum motion T = 2*pi*sqrt(l/g) => T^2 = 4*Pi^2*l/g => // I will vary length from 0.3 m to 1.5 in steps of 0.1 m and obtain a set of T values // I will plot l vs T with some noise (LAB 1 )

// Next lab use the data to obtain the formula (LAB 2)

In second part you include random noise in y and then obtain the fit. g obtained from the fit with noisy data be compared with g obtained from clean data and compare them.

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Question: // simulate pendulum motion T = 2*pi*sqrt(l/g) => T^2 = 4*Pi^2*l/g => // I will vary length from 0.3 m to 1.5 in steps of

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Question: // simulate pendulum motion T = 2pisqrt(l/g) => T^2 = 4Pi^2l/g => // I will vary length from 0.3 m to 1.5 in steps of