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you might not get the experiment correct (:
no a hypothesis is your guess of what the outcome is going to be in your experiment. For example. My experiment's question is to see what happens when I mix salt with water. My Hypothesis is the salt will float. Now the correct outcome is the salt sinked. I hope I helped you.
No because you have to have the exact measurement to be correct, what if someone were to come back and redo your experiment and then had a different outcome?
Well according to my scientifical calculations i believe the correct answer is three. Thank you very much.
false
this is important to be her formula is correct.
The first one is correct, the second one, the 'y' should be capitalized.
Reporting being done without opinion or bias
Communicating would be to tell the research of what the experiment is going to be unless a hypotheses is correct for an experiment.
the answer is a experiment that is controlled
A hypothesis is tested by an experiment. A hypothesis is an estimate or guess about an outcome. The experiment proves whether the hypothesis is correct or not correct.
Students could slip on the liquid correct
Yes, that is a grammatically correct sentence.
An experiment might not support a hypothesis even if the hypothesis is correct because if the conclusion
Accuracy is whether or not the average of all of the trials in a specific experiment is equal to the intended amount--it may have been given to you or you may have to do some calculations to determine the correct amount. Accuracy is important in an experiment so one can come up with the correct answer. One one to deter from having accurate measurements is having random or systematic errors (random=fault on experimenter's behalf, systematic=error in calibration of an istrument). Precision, on the other hand, entails the reproducibility of an experiment. This just means that all trial results were fairly close to each other. This does not necessarily mean the experiment was accurate, however, as precise measurements can be all close to each other but far away from the intended result. This could be the result of a systematic error. Accuracy and precision are both important to have in an experiment as it ensures both a correct result and reproducibility.
to make sure its correct
hypothesis is what you believe you will discover in an experiment