How do we as scientists interpret data to provide the most explicit explanation for our research? I am aware that we can present the limitations of our study which can defer our interpretation.
Eg. Three balls have the same mass and you may conclude that there is no difference between them. But, visibly you see that these balls are of different colors, shapes, and materials. So even though the mass is the same, there are still differences in the balls.
How do we apply this to data sets when conducting animal experiments?
As scientists, it's important to carefully interpret data from animal experiments to provide accurate and informative explanations for our research. This involves looking closely at the design of the experiment, the data collected, and identifying patterns or trends that can help to explain the results. We also need to be mindful of any limitations in the study, such as sample size or differences in animal behavior or diet, that may impact the interpretation of the data. Stephanie Mohammed
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