Galileo's Experiment with an Inclined Plane

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SUMMARY

Galileo's experiment with an inclined plane was conducted using a ramp of 88cm divided into four segments of 22cm, inclined at a height of 4cm. The recorded times for each segment were 1.75s, 2.70s, 3.25s, and 3.80s, with minimal errors. To conclude that distance (d) is proportional to time squared (t²), one can fit a quadratic curve to the data or plot distance against time squared to verify linearity. The slope of the resulting line should be compared to half the acceleration (a/2) of the motion on the incline.

PREREQUISITES
  • Understanding of basic physics concepts, specifically kinematics.
  • Familiarity with curve fitting techniques, particularly quadratic fitting.
  • Knowledge of graphing methods, including plotting distance versus time squared.
  • Basic skills in calculating slopes and interpreting linear relationships.
NEXT STEPS
  • Learn about quadratic curve fitting techniques using tools like Python's NumPy library.
  • Explore graphing software such as Desmos or GeoGebra for visualizing kinematic data.
  • Study the principles of acceleration and its calculation in inclined plane experiments.
  • Investigate the relationship between distance, time, and acceleration in physics through practical experiments.
USEFUL FOR

Students and educators in physics, particularly those interested in classical mechanics and experimental methods, as well as anyone conducting similar experiments with inclined planes.

Lukeblackhill
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Morning mates,

I've peformed Galileo's experiment with inclined planes, using a ramp of 88cm (divided in 4 parts of 22cm), inclined by a height on the right-edge of 4cm. I've measured the following,

1/4 of the ramp (22cm): 1.75s (error of 0.1s)
1/2 of the ramp (44cm): 2.70s (error of 0.1s)
3/4 of the ramp (66cm): 3.25s (error of 01.s)
4/4 of the ramp (88c): 3.80s (error of 01.s)

How can I interpret such results in order to arrive to the conclusion that d(t) is proportional to t²?

Thanks!
Cheers,
 
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To measure ‘dt’ you need a step that’s something like a real d or delta. But you could try to fit a curve to your data (best quadratic fit or by eye)
 
anorlunda said:
Do you know how to fit a curve as @sophiecentaur suggested?
You don't need to do a quadratic fit if those data points fit well to a hand drawn curve and you can draw a tangent at the various points to find the slope (which is the speed, Δd/Δt) Not as 'good' but it would give a set of speeds which should increase in equal steps for equal time increases. (Quick and dirty method with very little brain ache)
 
You can plot d versus t2 and see how well the points fit a straight line.
Compare the slope of the line with a/2 where a is the acceleration for the motion on the incline.
 
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