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. 2012 May;33(2):49–75.

Table 1.

Summary of mathematical terms and symbols.

Symbol or term Description
y Quantity to be determined, or measurand
x, x1, x2, xi, xn Value for a given ‘x’ variable
s Sample standard deviation
σ Population standard deviation
s(x1), s(x2), s(xi), s(xn) Sample standard deviation for a given ‘x’ variable
s2 Sample squared standard deviation or variance
σ2 Population squared standard deviation or variance
s2(x1), s2(x2), s2(xi), s2(xn) Sample squared standard deviation for a given ‘x’ variable
u Standard uncertainty
u2 Squared standard uncertainty, equivalent to variance
u(y) Standard uncertainty in y (measurand)
u2(y) Squared standard uncertainty in y, or variance of uncertainty in y
u(x1), u(x2), u(xi), u(xn) Standard uncertainty in a given ‘x’ variable
u2(x1), u2(x2), u2(xi), u2(xn) Standard uncertainty squared for a given ‘x’ variable
y = f (xi) Functional relationship between output ‘y’ and input variable ‘xi
r Correlation coefficient
rx1,x2 or r1,2 Correlation coefficient for the variables x1 and x2
Z-score, Z-value The number of standard deviations that an observation or value is from the mean- a standardised variable
k Coverage factor, the number of standard deviations or Z-scores required to include a stated proportion of values
ν Degrees of freedom
Error True value – measured value
Population covariance (x1, x2)
1N[i=1N(x1,ix¯1)(x2,ix¯2)]
y/xi Partial derivative of y with respect to xi
log10(y), log10(xi) Logarithm to the base 10
ln(y), ln(xi) Logarithm to the base e