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) |
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∂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 |