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How can you avoid systematic errors? - Answers

Taking a lot of careful precautions.Design the sample (if any) with care so that there are no systematic sources of bias,look for and eliminate [as far as is possible] any external factors that might affect the experiment,Calibrate all measuring equipment carefully,Carry out the experiment with double-blind procedures so that no single person has complete knowledge of all the factors until all data have been collected. For example, a person giving a patient a placebo may unconsciously send out signals to the patient who may then respond differently.



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How can you avoid systematic errors? - Answers

https://math.answers.com/math-and-arithmetic/How_can_you_avoid_systematic_errors

Taking a lot of careful precautions.Design the sample (if any) with care so that there are no systematic sources of bias,look for and eliminate [as far as is possible] any external factors that might affect the experiment,Calibrate all measuring equipment carefully,Carry out the experiment with double-blind procedures so that no single person has complete knowledge of all the factors until all data have been collected. For example, a person giving a patient a placebo may unconsciously send out signals to the patient who may then respond differently.



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https://math.answers.com/math-and-arithmetic/How_can_you_avoid_systematic_errors

How can you avoid systematic errors? - Answers

Taking a lot of careful precautions.Design the sample (if any) with care so that there are no systematic sources of bias,look for and eliminate [as far as is possible] any external factors that might affect the experiment,Calibrate all measuring equipment carefully,Carry out the experiment with double-blind procedures so that no single person has complete knowledge of all the factors until all data have been collected. For example, a person giving a patient a placebo may unconsciously send out signals to the patient who may then respond differently.

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      Taking a lot of careful precautions.Design the sample (if any) with care so that there are no systematic sources of bias,look for and eliminate [as far as is possible] any external factors that might affect the experiment,Calibrate all measuring equipment carefully,Carry out the experiment with double-blind procedures so that no single person has complete knowledge of all the factors until all data have been collected. For example, a person giving a patient a placebo may unconsciously send out signals to the patient who may then respond differently.
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