Which statement about systematic errors is true?

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Multiple Choice

Which statement about systematic errors is true?

Explanation:
Systematic errors are biases that push all measurements in the same direction, creating a consistent shift in the results. They come from flaws in the measurement system or procedure, such as a miscalibrated instrument or a consistent procedural flaw. Because this bias repeats across the data set, it shifts the overall average away from the true value, so it does affect the mean. For example, if a scale is always 0.5 grams too high, every measurement is biased upward and the average is off by about 0.5 grams. You can detect and correct systematic errors by calibration, using standards, or comparing with independent methods. In contrast, random errors occur irregularly from trial to trial and tend to average out with many measurements, so they don’t consistently bias the mean. Instrument fluctuations that vary randomly are a source of random error, not systematic.

Systematic errors are biases that push all measurements in the same direction, creating a consistent shift in the results. They come from flaws in the measurement system or procedure, such as a miscalibrated instrument or a consistent procedural flaw. Because this bias repeats across the data set, it shifts the overall average away from the true value, so it does affect the mean.

For example, if a scale is always 0.5 grams too high, every measurement is biased upward and the average is off by about 0.5 grams. You can detect and correct systematic errors by calibration, using standards, or comparing with independent methods.

In contrast, random errors occur irregularly from trial to trial and tend to average out with many measurements, so they don’t consistently bias the mean. Instrument fluctuations that vary randomly are a source of random error, not systematic.

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