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compare of the conclusion and see if it matches ur hypothesis
Experimental data is an important component of any scientific paper.After looking at the data, we can compare that to our hypothesis and see if it matches to our tentative idea.Analysis of experimental data also helps us to draw a conclusion of an experiment.
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Becasue the experiment that either you or somebody else constructed should be accurate so then you compare it to your hypothesis to see if you were wrong or right
There is no 7th step only 5 scientific method steps they are; problem,hypothesis,experiment,data,conclusion. You always need to have a problem to focus on. The hypothesis is very important, a hypothesis is a educated guess to test if your theory OS correct. You need to conduct a experiment to see if your hypothesis is correct. You need to collect data to back up your hypothesis. And last but my least a conclusion to prove if your hypothesis is right or wrong
compare of the conclusion and see if it matches ur hypothesis
Experimental data is an important component of any scientific paper.After looking at the data, we can compare that to our hypothesis and see if it matches to our tentative idea.Analysis of experimental data also helps us to draw a conclusion of an experiment.
try again and see if it does
A hypothesis is a testable statement. To check the accuracy of your statement, you need to design an experiment to test it and collect data. Then you analyze your data to see how well it supported your hypothesis.
You can see where the data is clustered
I no
I no
Becasue the experiment that either you or somebody else constructed should be accurate so then you compare it to your hypothesis to see if you were wrong or right
No. The null hypothesis is not considered correct. It is an assumption, and hypothesis testing is a consistent meand of determining whether the data is sufficiently strong to say that it may be untrue. The data either supports the alternative hypothesis or it fails to reject it. See examples in links. Also note this quote from Wikipedia: "Statistical hypothesis testing is used to make a decision about whether the data contradicts the null hypothesis: this is called significance testing. A null hypothesis is never proven by such methods, as the absence of evidence against the null hypothesis does not establish it."
A hypothesis is a fancy way of saying "guess". So to test a guess, you perform tests, or experiments, and make observations to see if this guess holds. If the experiments are sound (there are no flaws in the setup, you have accounted for all variables or things that can affect the results). And after collecting some data, perhaps repeating the experiment, you can see if the data supports the original hypothesis.
In Excel you can use all sorts of things. You can do it with formulas to see when things are exactly equal, or do things like create charts to compare data.
There is no 7th step only 5 scientific method steps they are; problem,hypothesis,experiment,data,conclusion. You always need to have a problem to focus on. The hypothesis is very important, a hypothesis is a educated guess to test if your theory OS correct. You need to conduct a experiment to see if your hypothesis is correct. You need to collect data to back up your hypothesis. And last but my least a conclusion to prove if your hypothesis is right or wrong