Analytical Errors Flashcards
- Difference between a measured value and the “true” or “known” value
Error
denotes the estimated uncertainty in a measurement or experiment
Error
caused by faulty calibrations or standardizations or by random variations and uncertainties in results
Error
- The difference between the measured value and the true value
Absolute error
Xm?
measured
Xe?
true
The absolute error divided by the true value
Relative Errors
- May be expressed in percent, parts per thousand, or parts per million, depending on the magnitude of the result
relative errors
is reflected by its precision
Random Error
- Indeterminate error
- Causes data to be scattered more or less symmetrically around a mean value
Random error
- Determinate error
- Causes the mean of a data set to differ from the accepted value
systematic error
in a series of replicate measurements causes all the results to be too high or too low
systematic error
- Often the product of human errors
- Lead to outliers
Gross error
Caused by nonideal instrument behavior, by faulty calibrations, or by use under inappropriate conditions.
Instrumental errors
Arise from nonideal chemical or physical behavior of analytical systems
Method errors
- Result from the carelessness, inattention, or personal limitations of the experimenter
- Mainly from own judgment
Personal error
- independent of the size of the sample being analyzed
constant errors
- Decrease or increase in proportion to the size of the sample
proportional errors