Experimental Experimental Setup And Procedure - something
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Experimental error is always with us; it is in the nature of scientific measurement that uncertainty is associated with every quantitative result. This may be due to inherent limitations Experimental Experimental Setup And Procedure the measuring equipment, or of the measuring techniques, or perhaps the experience and skill of the experimenter. Perhaps it's easier to do so, but it is not quantitative and does not present much of a test of the quality of the results. The development of the skill of error assessment is the purpose of these pages.
They are not intended as source course in statistics, so there is nothing concerning the analysis of large amounts of data. Errors — or uncertainties in experimental data — can arise in numerous ways. Their quantitative assessment is necessary since only then can a hypothesis be tested properly. The modern theory of atomic structure is believed because it quantitatively predicted all sorts of atomic properties; yet the experiments used to determine them were inevitably subject to uncertainty, so that there has to be some set of criteria that can be used to decide whether two compared quantities are the same or not, or whether a particular reading truly belongs to a set of readings.
Melting point results from a Experimental Experimental Setup And Procedure set of trials is an example of the latter.
Blunders mistakes. Mistakes or the much stronger 'blunder' such as, dropping a small amount of solid on the balance pan, are not errors in the sense meant in these pages.
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Unfortunately many critiques of investigations written by students are fond of quoting blunders as a source of error, probably because they're easy to link of. They are neither quantitative nor helpful; experimental error in the true sense of uncertainty cannot be assessed if the experimenter was simply unskilled. Human error. This is often confused with blunders, but is rather different — though one person's human error is another's blunder, no doubt.]
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