A bias error is the difference between the expected value and the true value of the data.
The bias error of the given data is 0.1
Bias Error= Expected Value- True Value
Bias Error= 5.4-5.3
Bias Error= 0.1
The bias error is also known as systematic error.
The bias error can also be understood by the following.
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