Results - your hypothesis. In this case, the data suggest...

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Results (Data) The data are often numbers (measurements, counts, etc.). The data below agree with the hypothesis. More light colored moths were recaptured in the clean area and more dark moths were recaptured in the polluted area. Light moths recaptured Dark moths recaptured Clean 13.7% 4.7% Polluted 13% 27.5% Statistical Testing Is it possible that the data above could have been due to chance and not really to the effect of bird predation? Statistical analysis allows you to calculate the probability that the data could have come out as they did if there really was no effect of predation. If the probability that the results could be due to random chance is less than 0.05, we conclude that the difference is real; it is not due to chance. If the probability is greater than 0.05, we conclude that the difference is due to chance. In the example above, a statistical analysis revealed that it is very unlikely that data could have produced the observed results due to chance.You must accept or reject
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Unformatted text preview: your hypothesis. In this case, the data suggest that the hypothesis should be accepted. Otherwise , it needs to be modified to account for the data. Publish Scientists generally do not regard information unless it has been published in a peer-reviewed or refereed journal . Typically, the scientist writes a report on the research and submits it to a journal editor. The editor distributes copies of the article to several peer reviewers that are recognized experts in the field. After reviewing the research, the peer reviewers recommend whether the paper should be published or not. Junk science has not undergone this peer review process. Politicians, journalists, and others interested in swaying public opinion may mislead the public by presenting junk science as sound science or by presenting it along with sound science....
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