Experimental error refers to the difference between a measured value and the true value in an experiment. It can arise from various sources, including inaccuracies in measurement tools, environmental conditions, or human mistakes. Understanding and minimizing experimental error is crucial for improving the reliability and validity of experimental results. It can be categorized into systematic errors, which are consistent and repeatable, and random errors, which vary unpredictably.
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It means there is a large segment of our society that can not phrase a question logically enough to warrent an answer.
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
'not' for instance is a unary operator. It is unary in the sense that it operates on a single item. In contrast a binary operator such as addition operates on two items.
Bias is systematic error. Random error is not.
Exprimental psychologist
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The mening of the name Chebundo in Shona language of the African origin is "of the forest, robber, and highway man."
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