what is gross error
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Explanation:
Gross errors are caused by experimenter carelessness or equipment failure. These "outliers" are so far above or below the true value that they are usually discarded when assessing data. The "Q-Test" (discussed later) is a systematic way to determine if a data point should be discarded.
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Gross Errors: This category basically takes into account human oversight and other mistakes while reading, recording, and readings.
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