What Random error is
Random error is a type of measurement error that is caused by variations in the measurement process that are unpredictable and unrelated to the true value of the measure being taken. Random errors can be caused by a variety of factors, including measurement instrument variability, environmental conditions, or errors in the measurement process itself.
Steps for Random Error:
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Identify the factors that may be causing the random error. These can include measurement instrument variability, environmental conditions, or errors in the measurement process itself.
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Analyze the data to determine the likely source of the random error.
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Take steps to reduce or eliminate the source of the random error.
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Re-measure the data to ensure the random error has been reduced or eliminated.
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Repeat steps 1-4 as necessary until the random error has been minimized.
Examples
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A researcher measures the height of a sample of ten people, but one of the measurements is corrupted, giving an incorrect result.
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A study of the relationship between income and happiness is conducted, but some of the data points contain errors due to incorrect record-keeping.
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A survey of voters is conducted, but some of the responses are randomly selected from the wrong population.