Provide three possible sources of error and state whether they are systematic or random.

(Note: At least one source of error must be systematic. Human error is not an acceptable answer.)

Systematic error in an experiment can arise from various sources including the researcher, participant, or measurement instrument. This type of error biases results consistently in a particular direction. An example of systematic error in a measurement could be an improperly calibrated instrument, leading to consistently higher readings than the true value.

Random error, on the other hand, is unpredictable and does not consistently skew results in one direction. It is more like statistical noise that averages out over multiple measurements. An example of random error in an experiment could be variations in environmental conditions affecting measurements inconsistently.

Precision, accuracy, systematic errors, and random errors are all important concepts to consider when conducting experiments or measurements as they impact the reliability and validity of results.

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Provide three possible sources of error and state whether they are systematic or random.(Note: At least one source of error must be systematic. Human error is not an acceptable answer.)

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Provide three possible sources of error and state whether they are systematic or random.

(Note: At least one source of error must be systematic. Human error is not an acceptable answer.)