If you are using statistical analysis (and you are using it honestly) then it is understood that there is a small but finite possibility (usually 5%) that you obtained your significant results by chance alone. So replication of studies helps to support findings. There are methods of meta-analysis where results of many studies are examined together so that the pooled probabilities can be calculated with some degree of accuracy, even though there may be some complications of interpretation because different studies will have widely different hypotheses.
A Cheater
a repeat.
Scientists do their test more than once, or get their colleagues and peers to do the same experiment in order to verify the results of their experiment. This is called reproducing an experiment and its results.
So people can make sure there data is correct on the experiment. For example, if someone did an experiment once and it worked, and then did it 4 more times, and it didn't work, that would be the most accurate answer that it didn't work. If they didn't do it that extra 4 times, they would have thought it worked, when it did not. -Allie(: *Did this question help you? Please, comment if it did*
To make sure that the test results are the same and can conclude the result of the experiment will come up 100% of the time.
A Cheater
First decide on electrical or mechanical waves. The experiment may become clear once you know that. A rope or an electronic signal generator?
a repeat.
Scientists do their test more than once, or get their colleagues and peers to do the same experiment in order to verify the results of their experiment. This is called reproducing an experiment and its results.
I.What types of plants were used in the experiment?II.What was the experiment's control? III.Was the experiment repeated more than once?
replicate
It tells you how accurate your results are. If you do the experiment multiple times and get different results, then there is something wrong with the experiment or what you are measuring. Its just like a survey, the more people you ask, the closer to the actual population opinion you get.
To make an experiment more accurate you would have to repeat the experiment 3-5 more times to make it reliable and also you would do what Liverpool college do and compare the answers with other people in the class, community or teacher.
experiment
It depends a great deal on the specific experiment. But in general, you start with a hypothesis (a proposed idea) and use the experiment to either confirm or contradict your hypothesis. Having a well-stated and clear hypothesis is critical to having a good experiment. Alternatively, you can use an experiment to answer a specific question. Once you have a hypothesis or question to address, you need to establish a method by which you will answer the question. It is important to not only consider the technique itself and how to do it, but also how to interpret different possible results. Once you have performed the experiment, you must interpret your results (usually using the interpretation mentioned above). You must also consider other factors in your results, such as error (either random or systematic). Finally, do the results support or contradict the original hypothesis, or do they answer the question originally asked? If not, what is missing? If so, what does that mean (in other words, why was the hypothesis interesting or important to test in the first place?
An experiment is a method of testing whether something is right. A conclusion is the answer which is reached once the experiment is finished.
Once upon a time....... Service was more important than political party but that died out pretty quickly in the great political experiment that is the United States of America.