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If t calculated > t table the difference is
signifigant
pooled =
average
we always put the larger _______ in the numerator so that F ≥ 1
standard diviation
Grubbs test for bad data needs at least how many measurments
4
for acuracy use
confidence interval
for percision use
f test
Specificity (selectivity)
the ability to distinguish the analyte from other species in the sample
linearity
a measure of how well data in a graph follow a straight line
a good fit for square of correlation coefficient would be
R^2 > = 0.995 or 0.999
robustness
ability of an analytical method to be unaffected by small, deliberate changes in operating parameters
range
the concentration interval which linearity, accuracy, and percision, are all accepted
linear range
concentration range over which calibration curve is linear
dynamic range
concentration range over which there is a measurable response
calibration curve
graph of the response versus concentration of analyte
spike recovery
% recovery = C spiked sample - C unspiked sample / C added (x 100)
matrix effect
change in analytical signal caused by anything in the sample other than analyte
equalibrium
state in which the forward & reverse rates of all reactions are equal, concentrations remain constant
equalibrium constant
k = [C]^c [D]^d / [A]^a [B]^b
10^5 Pa =
1 Bar
751.8 torr =
1 Bar
confidence interval
μ = x̄ ± ts/√n
degrees of freddom
df = n - 1
Examples of method validation
selectivity, linearity, accuracy, percision, sensitivity, range