Accuracy and Precision | Summary and Q&A

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August 5, 2017
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The Organic Chemistry Tutor
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Accuracy and Precision

TL;DR

Accuracy refers to the closeness of data to the accepted value, while precision is the agreement among individual measurements.

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Questions & Answers

Q: What is the difference between accuracy and precision?

Accuracy refers to how close data is to the accepted value, while precision is the agreement among individual measurements. Accuracy focuses on the true value, while precision focuses on consistency among data points.

Q: How is accuracy determined in an experiment?

Accuracy is determined by comparing the data to the accepted value. The closer the data is to the accepted value, the more accurate it is considered.

Q: What does it mean for data to be precise?

Data is precise when individual measurements agree with each other. Precise data exhibits low variability and consistency among data points.

Q: Can data be precise but not accurate?

Yes, data can be precise but not accurate. This means that the measurements agree with each other but are not close to the accepted value. Precision does not guarantee accuracy.

Summary & Key Takeaways

  • Accuracy is how close data is to the accepted value, while precision is the agreement among individual measurements.

  • In an experiment measuring the density of aluminum, Megan's data is accurate but not precise.

  • John's data is precise but not accurate, while Mike's data is both accurate and precise.

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