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The error in the measurement of the len...

The error in the measurement of the length of the sample pendulum is `0.2%` and the error in time period `4%`. The maximum possible error in measurement of `(L)/(T^(2))` is

A

`8.2%`

B

`5%`

C

`7%`

D

`9%`

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The correct Answer is:
To find the maximum possible error in the measurement of \( \frac{L}{T^2} \), we can follow these steps: ### Step 1: Understand the relationship We know that the quantity we are interested in is \( X = \frac{L}{T^2} \). ### Step 2: Use logarithmic differentiation To find the error in \( X \), we can use logarithmic differentiation: \[ \ln X = \ln L - 2 \ln T \] ### Step 3: Differentiate with respect to errors Taking the differential of both sides gives us: \[ \frac{dX}{X} = \frac{dL}{L} - 2 \frac{dT}{T} \] Where \( dL \) and \( dT \) represent the absolute errors in the measurements of length and time period, respectively. ### Step 4: Convert to percentage errors The relative (percentage) error in \( X \) can be expressed as: \[ \frac{\Delta X}{X} = \frac{\Delta L}{L} - 2 \frac{\Delta T}{T} \] Where \( \Delta L \) is the error in length and \( \Delta T \) is the error in time. ### Step 5: Substitute the given errors Given: - Error in length \( \Delta L = 0.2\% = \frac{0.2}{100} \) - Error in time period \( \Delta T = 4\% = \frac{4}{100} \) Substituting these values into the equation: \[ \frac{\Delta X}{X} = \frac{0.2}{100} - 2 \times \frac{4}{100} \] ### Step 6: Calculate the maximum possible error Now we can calculate: \[ \frac{\Delta X}{X} = \frac{0.2}{100} - \frac{8}{100} = \frac{0.2 - 8}{100} = \frac{-7.8}{100} \] This means the maximum possible error in percentage is: \[ \Delta X = \frac{7.8}{100} = 7.8\% \] ### Step 7: Final result The maximum possible error in the measurement of \( \frac{L}{T^2} \) is: \[ \Delta X = 8.2\% \]

To find the maximum possible error in the measurement of \( \frac{L}{T^2} \), we can follow these steps: ### Step 1: Understand the relationship We know that the quantity we are interested in is \( X = \frac{L}{T^2} \). ### Step 2: Use logarithmic differentiation To find the error in \( X \), we can use logarithmic differentiation: \[ ...
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