Chapter 3.3 Types of Error Flashcards
Experimental Error
difference between the true value and the measured value of a quantity
Classified as Systematic, random, or blunder
Systematic error
also called determinate error
arises from a flaw in equipment or design of the experiment
it is consistent and can be detected and corrected
Ways to detect systematic error
- Analyze known sample
- use an alternate method to measure the same quantity
- Participate in a round-robin with other labs
- analyze a blank sample containing no analyte
Ways to correct a systematic error
- Calibrate glassware and instruments
2. Use standard addition or internal standard
Certified reference materials
samples sold by national measurement institutes containing known quantities of analytes in a specified matrix to test the accuracy of analytical procedures
The US National Institute of standards and tech calls its certified material standard reference materials
Random error
also called indeterminate error
arises from uncontrolled variables in the measurement
cannot be eliminated but might be reduced by better technique
Blunders
also called gross errors
extreme instances of random or systematic error due to accidental but significant departures from the procedure
Unrecoverable errors due to procedural instrumental or clerical mistakes
Precision
describes the reproducibility of a result
Accuracy
How close the measured value is to the “true” value (known standard value)
uncertainty
variability in measurements
error
difference between the measured and “true” value
Absolute uncertainty
expresses the margin of uncertainty associated with a measurement
Relative uncertainty
compares the size of the absolute uncertainty with the size of its associated measurement
= Absolute uncert/ magnitude of measurement
percent relative uncertainty
= 100 X relative uncertainty