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A scientist is trying to figure something out. The scientist makes a guess and figures out a way to test that guess. That is called an experimental investigation.
The scientist was smart.!
If the personal opinion of a scientist affects the way that the experimental results are reported, that is called bias.
The scientist has to organize the data in some meaningful ways, and these ways are probably going to be determined by the experimental design chosen. The scientist can do some calculations to quickly look at general trends, and then employ statistical analysis to get a more exact estimate of the strengths of the outcomes.
Experimental error.
The peer review process.......(studyisland)
`no!
A scientist is trying to figure something out. The scientist makes a guess and figures out a way to test that guess. That is called an experimental investigation.
experimental variable
The scientist was smart.!
The manner in which a scientist intends to conduct an experiment is called a plan or procedure.
If the personal opinion of a scientist affects the way that the experimental results are reported, that is called bias.
Because it helps them know the results of the objects in the experiment and how they differ. This way the scientist knows which succeeded and which failed.
experimental scientist
Democritus
gregor mendel
Some but not all scientific models are based on the ability to determine the likelihood that a given experimental outcome has happened by chance alone. If you have an accurate understanding of how the variables in the experiment change when nothing in particular is affecting them, then you have a way to establish some confidence that your outcome is the result of your experimental procedure and not the result of purely random events. The experimental 'lingo' is that the researcher has to determine if the 'Null Hypothesis' can be rejected. The Null Hypothesis is that the experimental outcome is not significantly different from what you would expect if the experiment had no effect at all.As an example, if the probability in the natural world is that some event will happen by chance only one tenth of one percent of the time, then when I observe that event as my experimental outcome, I can be reasonably sure that my procedure has brought about the event; it is so unlikely that it happened by chance. It is not perfect, but few scientific procedures are. This also highlights the importance of replicating studies or of doing meta-analyses of experimental data gathered in many experiments to further reduce the likelihood that observed outcomes are nothing more than chance events.