the mice in the experimental group did not always drink the Orange Juice they were given
laboratory mice are similar but not identical to each other APEX
Can you show me the choices?
Bsbsn
In a scientific experiment, a source of error is something that could have caused you to obtain an incorrect result. Example: You are performing an experiment to see how much 30 liters of water weigh. If you accidently pour 32 liters of water when you meant to pour 30, that would be a source of error, because it would give you the incorrect result.
percent error :)
A trial and error way of answering a hypothesis.
this is important to be her formula is correct.
the answer is: Error
What are some precautions and source of error in the principle of moments
An error occurring due to sampling in the experiment. It is known as S.E. (Standard Error).
In a scientific experiment, a source of error is something that could have caused you to obtain an incorrect result. Example: You are performing an experiment to see how much 30 liters of water weigh. If you accidently pour 32 liters of water when you meant to pour 30, that would be a source of error, because it would give you the incorrect result.
You have to calculate the amount of error that can be expected in your experiment, and if the results exceed the experimental error, they can be considered to be meaningful. We would really have to discuss a specific experiment to see how this principle works.
Darren!
Trial and error
the precentage of error in data or an experiment
how to reduce the problem of random error and systematic error while doing an experiment
to ensure your experiment is precise and to prevent error to happen during experiment
zero error apparatus error experimental condition experiment error parallax error
A source of error is something that could have caused you to obtain an incorrect result.
It is a measure measurement of the amount of error made in an experiment. It is obtained by comparing the actual result, with the result gotten from the experiment. % error = [(experimental value - true value) / true value] x 100