In an experiment that involves many people or animals, it is important to test many individuals to avoid experimental error. If only one individual were to be tested in the experiment, it would be difficult to say whether the results were a product of the test, or if it was just a result that the particular individual produced. By testing many, scientists can say definitively that their hypothesis was correct or incorrect because a wide variety of test subjects responded in the same way.
They should do the same experiment because if one scientist makes a mistake, it can be corrected.
An experiment which can be repeated and will yield the same results. Ex. If x+y=z in the experiement if you try the experiment again you should get the same result "z".
to gather data from data to create an controlled experiment
A scientist forms hypothesis to better conduct an experiment. He or she asks a question, then forms a hypothesis, or prediction, so that they are better prepared for a likely outcome of their experiment. If they don't try to guess what might happen, they might not come prepared and could be injured or unsucessful in their collection of data.
to gather data from data to create an controlled experiment
to gather data from data to create an controlled experiment
they do not want to be spotted and be known because humans will try to kill it. And scientist will experiment them
In an experiment that involves many people or animals, it is important to test many individuals to avoid experimental error. If only one individual were to be tested in the experiment, it would be difficult to say whether the results were a product of the test, or if it was just a result that the particular individual produced. By testing many, scientists can say definitively that their hypothesis was correct or incorrect because a wide variety of test subjects responded in the same way.
Scientists try to identify as many relevant variables as possible in order to account for potential confounding factors that could affect the outcome of the study. By identifying and controlling for these variables, researchers can increase the validity and reliability of their results, even when a controlled experiment is not possible.
They should do the same experiment because if one scientist makes a mistake, it can be corrected.
An experiment which can be repeated and will yield the same results. Ex. If x+y=z in the experiement if you try the experiment again you should get the same result "z".
Well, they could but they shouldn't because they will do something wrong !!! And if it doesnt fit there hypothesis they need to try the experiment again until it fits there hypthesis !!! That would be my solution !!!
In an experiment that involves many people or animals, it is important to test many individuals to avoid experimental error. If only one individual were to be tested in the experiment, it would be difficult to say whether the results were a product of the test, or if it was just a result that the particular individual produced. By testing many, scientists can say definitively that their hypothesis was correct or incorrect because a wide variety of test subjects responded in the same way.
In an experiment that involves many people or animals, it is important to test many individuals to avoid experimental error. If only one individual were to be tested in the experiment, it would be difficult to say whether the results were a product of the test, or if it was just a result that the particular individual produced. By testing many, scientists can say definitively that their hypothesis was correct or incorrect because a wide variety of test subjects responded in the same way.
to gather data from data to create an controlled experiment
A scientist forms hypothesis to better conduct an experiment. He or she asks a question, then forms a hypothesis, or prediction, so that they are better prepared for a likely outcome of their experiment. If they don't try to guess what might happen, they might not come prepared and could be injured or unsucessful in their collection of data.