Chapter 3: Precision and Accuracy of Chemical Analyses Flashcards
The ______ of two or more
measurements is their average value
mean
mean is also called as
arithmetic mean or average
it is often caused by faulty calibrations or standardization or by random variations and uncertainties in results.
errors
TRUE OR FALSE
it is impossible to perform a
chemical analysis that is totally free of errors or uncertainties
TRUE
refers to the difference between a
measured value and the “true” or
“known” value
ERROR
often denotes the estimated uncertainty in
a measurement or experiment.
error
is the middle value in a set of data that has been arranged in numerical order. The ________ is used advantageously when a set of data contain an outlier, a result that differs significantly from others in the set.
median
can have a significant effect on the mean of the set but has no effect on the median.
outlier
describes the reproducibility of measurements. is the closeness of results to others obtained in the same
way.
precision
three terms widely used to describe the precision of a set or replicate data,
standard deviation
variance
coefficient of variation
These three (standard deviation, variance, and coefficient of variation) functions of how much an individual result differ from the mean, called
deviation from the mean
is the closeness of a
measured value to the true or
accepted value and is expressed by the error.
accuracy
describes the agreement among several results obtained in the same way. We can determine ______ just by measuring replicate samples
Precision
is often more difficult to determine because the true value is usually unknown. An accepted value must be used instead. It is expressed in
terms of either absolute or relative error.
Accuracy
TRUE or FALSE
The sign of absolute error tells you whether the value in question is high or low.
TRUE
the formula for absolute error
E= measured value - true value
The _______________ of a measurement
is the absolute error divided by
the true value. _________ may
be expressed in percent, parts per
thousand, or parts per million,
depending on the magnitude of the
result
relative error
Er is often a more useful quantity than the absolute error. Er stands as
relative error
causes data to be scattered more or less symmetrically around a mean value
random or indeterminate error
causes the mean of a data set to differ from the accepted value
systematic or determinate error
is a sample of about the
same size that is carried through an
analysis in exactly the same way.
replicate
TRUE or FALSE
the random error
in a measurement is reflected by its precision.
TRUE
One of the first questions to answer before beginning an analysis is
What maximum error can be tolerated in the result?
TRUE or FALSE
An example of a systematic error is the loss of a volatile analyte while heating a sample
TRUE