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Question 10
A student made a simple pendulum by connecting a paper cone to a piece of string. She attached the pendulum to a clamp as shown. (a) (i) The student displaced the p... show full transcript
Step 1
Answer
To calculate the length of the pendulum, we will use the formula for the period of a simple pendulum:
Where:
Rearranging the formula to find , we have:
Plugging in the values:
Thus, the length of the pendulum is approximately 1.55 m.
Step 2
Answer
The amplitude of oscillation does not remain constant due to several factors:
Damping Forces: As the pendulum swings, it experiences resistive forces such as air resistance and friction at the pivot point, which gradually reduce its energy.
Energy Loss: The oscillation is powered by gravitational potential energy, which transforms to kinetic energy as the pendulum swings. Due to damping, some energy is lost to the surrounding environment, causing the amplitude to decrease over time.
Restoring Forces: While the restoring forces initially act to bring the pendulum back to its equilibrium position, persistent damping results in a gradual reduction in oscillation amplitude.
In summary, continuous energy loss to damping forces results in a diminishing amplitude of oscillation.
Step 3
Answer
The relation given is:
Taking the natural logarithm of both sides results in:
This equation can be rearranged to:
This formation is in the standard linear equation form , where:
Thus, a graph of versus will yield a straight line with a slope of -k, indicating an exponential decay in amplitude over time.
Step 4
Answer
To plot the graph, first process the data in the table to find the natural logarithm of each amplitude value:
t/s | A/cm | ln A |
---|---|---|
2.5 | 17.6 | 2.868 |
5.0 | 14.3 | 2.658 |
7.5 | 11.6 | 2.460 |
10.0 | 9.4 | 2.247 |
12.5 | 7.6 | 2.028 |
Now, plot these points on a grid with t on the x-axis and ln A on the y-axis. Ensure to label the axes correctly and include a suitable title for the graph.
Step 5
Answer
To determine the values of and , we can use the y-intercept and slope from the linear regression on the plot:
Extract the values:
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