Systematic Error
Systematic Error
Systematic error is a short phrase that is usually easy to find in the science classes. Usually, there are lots of different ways to define this phrase. So, what is the exact meaning of systematic error? Systematic error is one of the biases in measurement which could reduce the accuracy of the result of the measurement and cannot attribute to chance.
Systematic error is a kind of bias in measurement. Literally, it leads to the situation where the mean of many separate measurements differs significantly from the actual value of the measured attribute. In the repeating of measurements, the biases of the measurements are always predictable by some regularity. For example, the experimental data is always higher than the calculating data in a certain value. In this case, the results of following repeating measurements are simply predictable, which means the measurements have systematic error.
The systematic error is a kind of error that could reduce the accuracy of the result of the measurement. It leads to the experimental answer being consistently higher or lower than the literal value. These errors usually are caused by the imperfect measurement instruments, the incorrect measure techniques, or even the environmental changes.
The phrase “systematic error” is also can defined as a persistent error that cannot be attributed to chance. However, the error that could be attributed to chance is called random error. It leads to measurable values being inconsistent when repeated measures of a constant attribute or quantity are taken and inherently unpredictable. So, people could define any mistake besides the random error in measurement is systematic error which is predictable.
Summing up the views shows above, systematic error is a bias in measurement which could simply reduce the accurate of the experimental data and also cannot attribute to
Systematic error is a short phrase that is usually easy to find in the science classes. Usually, there are lots of different ways to define this phrase. So, what is the exact meaning of systematic error? Systematic error is one of the biases in measurement which could reduce the accuracy of the result of the measurement and cannot attribute to chance.
Systematic error is a kind of bias in measurement. Literally, it leads to the situation where the mean of many separate measurements differs significantly from the actual value of the measured attribute. In the repeating of measurements, the biases of the measurements are always predictable by some regularity. For example, the experimental data is always higher than the calculating data in a certain value. In this case, the results of following repeating measurements are simply predictable, which means the measurements have systematic error.
The systematic error is a kind of error that could reduce the accuracy of the result of the measurement. It leads to the experimental answer being consistently higher or lower than the literal value. These errors usually are caused by the imperfect measurement instruments, the incorrect measure techniques, or even the environmental changes.
The phrase “systematic error” is also can defined as a persistent error that cannot be attributed to chance. However, the error that could be attributed to chance is called random error. It leads to measurable values being inconsistent when repeated measures of a constant attribute or quantity are taken and inherently unpredictable. So, people could define any mistake besides the random error in measurement is systematic error which is predictable.
Summing up the views shows above, systematic error is a bias in measurement which could simply reduce the accurate of the experimental data and also cannot attribute to