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Error has different meanings in different contexts. In some cases it is a synonym for "mistake". In this sense "Human Error" would be careless accidents that could be avoided with care. In Scientific terms, however, "error" simply refers to the difference between an observed value and it's theoretical "expected" value, regardless of whether this difference relates to a "mistake" by the experimenter, or is the result of some uncontrolled variable in the experiment.

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Q: What is a scientific error?
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What system is used for reducing bias and error in the measurement of data?

Scientific method


Using science to solve everyday problems is called what?

-they use scientific method -they use trial and error method


What is random error?

Random error is the name given to unforeseen mistakes that occur under secure conditions for various scientific and non-scientific procedures. For instance a mechanical instrument used weighing objects that was affected by unforeseen conditions, such as weather, and even though all necessary pre-cautions were taken, the machine may have given the observer an off the mark weight. Perhaps the observers interpretation of the scale was improper, thus resulting in small degrees of error between that of the actual weight and that of which is observed. This is why scientist conduct their experiments dozens upon hundreds of times, taking multiple measurements and averaging them, to try to minimize random error. Random error is the opposite of Systemic error. The most important thing to remember to understanding what random error is, is that as the name implies it's unpredictable (random).


What is the difference between systematic error and accidental error?

Systematic error is a constant or known:effects of the error are cumulativeerror is always positive or negativeAccidental error is a unavoidable error: effects of the error is compensationerror is equally like to be positive or negative


What is the difference between a bias and a random error?

Bias is systematic error. Random error is not.