Chapter 10: Precision and Accuracy of Chemical Analyses Flashcards
Measurements always contain __ and __.
errors
- uncertainties
Frequent __, __, and __ of known samples can sometimes be used to lessen all but the random errors and uncertainties.
- calibrations
- standardizations
- analyses
Measurement data can only give us an __ of the “true” value
estimate
Estimating the reliability of experimental data is extremely important whenever we collect laboratory results because data of unknown quality are __.
worthless
To improve the reliability and to obtain information about the variability of results, several (often __ to __) portions (__) of a sample are usually carried through an entire analytical procedure.
- 2-5
- replications
The best estimate of the true value is the __.
central value for the set
The most widely used measure of central value
mean
The __, also called the __ or the __, is obtained by dividing the sum of replicate measurements by the number of measurements in the set: (formula?)
- mean
- arithmetic mean
- average
N
x̄= ∑ xi / N
i =1
the middle result when replicate data are arranged in increasing or decreasing order
median
__ indicates the closeness of the measurement to the true or accepted value and is expressed by the __.
- accuracy
- error
a measure of how close a series of measurements are to one another
precision
describes the reproducibility of measurements—in other words, the closeness of results that have been obtained in exactly the same way.
precision
Three terms that are widely used to describe the precision of a set of replicate data:
- standard deviation
- variance
- coefficient of variation.
deviation from the mean formula
di = | xi-x̄ |
To evaluate the __ of a measurement, the measured value must be compared to the correct value.
accuracy
To evaluate the __ of a measurement, you must compare the values of two or more repeated measurements.
precision
the difference between the experimental value and the accepted value.
Error
The __ is the correct value based on reliable references.
accepted value
The __ is the value measured in the lab.
experimental value
formula of error
Error = experimental value - accepted value
Accuracy is expressed in terms of either __ __ or __ __
- absolute error
- relative error
We can determine precision just by measuring __ __
replicate samples
Absolute error formula
E = xi - xt
where xi is a measurement of the quantity and xt is the true or accepted value of the quantity
formula of Relative Error
Er = xi - xt / xt * 100%
often a more useful quantity and also expressed in parts per thousand (ppt)
relative error