What do the terms "accuracy" and "precision" mean in the fields of science, engineering, industry, and statistics?
Q: What do the terms "accuracy" and "precision" mean in the fields of science, engineering, industry, and statistics?
A: The accuracy of a measurement system is how close it gets to a quantity's actual value, while the precision of a measurement system is the degree to which repeated measurements give the same results.
Q: Can a measurement system be accurate but not precise?
A: Yes, a measurement system can be accurate but not precise.
Q: Can a measurement system be precise but not accurate?
A: Yes, a measurement system can be precise but not accurate.
Q: Can a measurement system be both accurate and precise?
A: Yes, a measurement system can be both accurate and precise.
Q: How does increasing the sample size affect the precision and accuracy of an experiment?
A: Increasing the sample size generally increases precision but does not improve accuracy if there is an error in the way the experiment is done.
Q: What should be done to improve accuracy if there is a systematic error in a measurement system?
A: Eliminating the systematic error improves accuracy.
Q: What is the difference between bias and error in the context of measurement systems?
A: Bias refers to non-random or directed effects caused by a factor or factors unrelated to the independent variable, while error refers to random variability.
