Login or Sign Up
Menu
Ask a New Question

Question

Tony built a ramp to determine the average distance his toy car will travel when released down the ramp. Which experiment will best test how far his toy car will travel when released down the ramp?

Captionless Image

Responses

an experiment that measures the distances that his toy car travels in two trials
an experiment that measures the distances that his toy car travels in two trials

an experiment that measures the distances that his toy car travels in many repeated trials
an experiment that measures the distances that his toy car travels in many repeated trials

an experiment that measures the distances that different toy cars travel in two trials
an experiment that measures the distances that different toy cars travel in two trials

an experiment that measures the distances that different toy cars travel in many repeated trials
an experiment that measures the distances that different toy cars travel in many repeated trials

The best experiment to test how far Tony's toy car will travel when released down the ramp is the one that measures the distances that his toy car travels in many repeated trials. This will provide a more accurate average distance as it takes into account any variations or inconsistencies in the car's performance.

To determine the average distance Tony's toy car will travel down the ramp, the best experiment would be the one that measures the distances the toy car travels in many repeated trials. This is because averaging the distances from multiple trials will provide a more accurate representation of the average distance the toy car can travel down the ramp. By repeating the experiment multiple times, any variability or random factors that may affect the distance traveled in a single trial can be accounted for, resulting in a more reliable average distance measurement.

The best experiment to test how far Tony's toy car will travel when released down the ramp would be an experiment that measures the distances that his toy car travels in many repeated trials. This will provide a more accurate average distance as it takes into account any inconsistencies or variations in distance that may occur in different trials.