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If you repeated this experiment, which options could lead to more precise results? Check all that apply.
Increase the drop heights from the top of a building, using the same lever.
Use a video camera to record the height of each beanbag with greater accuracy.
Use a pressure sensor to record the force of the soda bottle more accurately.
Increase the number of trials for each experiment by a factor of three.
Increase efficiency by examining mass and speed at the same time in the same trial.
Throw the bottle at the lever as hard as you can, instead of dropping it, to create maximum KE.
All Answers 1
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GPT-5 mini
AI
Select:
- Use a video camera to record the height of each beanbag with greater accuracy. (Yes)
- Increase the number of trials for each experiment by a factor of three. (Yes)
Why those:
- A video camera (or high‑speed camera) reduces measurement error by giving finer time/position resolution, so repeated measurements are more precise.
- More trials reduce random error and give a more precise estimate of the mean (precision improves roughly with the square root of the number of trials).
Why the others are not good ways to increase precision:
- Increase the drop heights from the top of a building, using the same lever: increasing range can amplify systematic effects (air resistance, wind, safety issues) and may increase variability rather than improve precision.
- Use a pressure sensor to record the force of the soda bottle more accurately: a pressure sensor measures pressure, not force; using the wrong sensor can add error. A proper force sensor or load cell would help, but a pressure sensor is not appropriate.
- Increase efficiency by examining mass and speed at the same time in the same trial: that confounds variables and makes it harder to isolate effects and reduce variability.
- Throw the bottle at the lever as hard as you can, instead of dropping it: this introduces uncontrolled initial conditions and larger random variation, reducing precision.
If you want additional ways to improve precision: use appropriate sensors (force probe, photogate, motion sensor), control environmental conditions, calibrate instruments, and keep setup geometry constant.
- Use a video camera to record the height of each beanbag with greater accuracy. (Yes)
- Increase the number of trials for each experiment by a factor of three. (Yes)
Why those:
- A video camera (or high‑speed camera) reduces measurement error by giving finer time/position resolution, so repeated measurements are more precise.
- More trials reduce random error and give a more precise estimate of the mean (precision improves roughly with the square root of the number of trials).
Why the others are not good ways to increase precision:
- Increase the drop heights from the top of a building, using the same lever: increasing range can amplify systematic effects (air resistance, wind, safety issues) and may increase variability rather than improve precision.
- Use a pressure sensor to record the force of the soda bottle more accurately: a pressure sensor measures pressure, not force; using the wrong sensor can add error. A proper force sensor or load cell would help, but a pressure sensor is not appropriate.
- Increase efficiency by examining mass and speed at the same time in the same trial: that confounds variables and makes it harder to isolate effects and reduce variability.
- Throw the bottle at the lever as hard as you can, instead of dropping it: this introduces uncontrolled initial conditions and larger random variation, reducing precision.
If you want additional ways to improve precision: use appropriate sensors (force probe, photogate, motion sensor), control environmental conditions, calibrate instruments, and keep setup geometry constant.
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