Let y be a real number whose expansion is given by
$$ y = \pm(0.d_{1}d_{2}d_{3}...d_{k}d_{k+1}...)_{\beta}\times\beta^{e} $$
with $ d_{1}\neq 0 $ and $ m\le e\le M $ where
$\beta$ = the base, $k$ = the number of digits in the base $\beta$ expansion, $m$ = the minimum exponent and $M$ = the maximum exponent, and let $ fl(y) $ be the floating point equivalent of y. When the number chopped, the floating point equivalent is given by
$$ fl_{chop}(y) = \pm(0.d_{1}d_{2}d_{3}...d_{k})_{\beta}\times\beta^{e} $$
when the number is rounded,
$$ fl_{round}(y)=\pm(0.d_{1}d_{2}d_{3}...d_{k})_{\beta}\times\beta^{e}\qquad for \qquad d_{k+1}<\frac{\beta}{2} $$
$$ fl_{round}(y)=\pm[(0.d_{1}d_{2}d_{3}...d_{k})_{\beta}+\beta^{-k}]\times\beta^{e}\qquad for \qquad d_{k+1} \ge \frac{\beta}{2}$$
We have
$$ |fl_{chop}(y)-y|=(0.d_{k+1}d_{k+2}d_{k+3}...)_{\beta}\times\beta^{e-k}\le(1.0)_{\beta}\times\beta^{e-k}=\beta^{e-k} $$
also
$$ |y|=(0.d_{1}d_{2}d_{3}...)_{\beta}\times\beta^{e}\ge(0.1)_{\beta}\times\beta^{e}=\beta^{e-1} $$
therefore
$$ \frac{|fl_{chop}(y)-y|}{|y|}\leq \frac{\beta^{e-k}}{\beta^{e-1}}=\beta^{1-k} $$
By proceeding in a similar manner, it can be shown that when a number is rounded, the bounds on both the absolute and relative error due to roundoff are one-half the bounds obtained when a number is chopped. That is
$$ |fl_{round}(y)-y|\le \frac{1}{2} \beta^{e-k} $$
and
$$ \frac{|fl_{round}(y)-y|}{|y|}\le \frac{1}{2} \beta^{1-k} $$
Now we are ready to the following definition,
Definition. Suppose that $x\neq 0$ and that $$ \beta^{-(t+1)}<\frac{|x-y|}{|x|}\le \beta^{-t} $$ for some positive
integer $t$. Then we say that $x$ and $y$ agree to at least $t$ and at
most $t+1$ SIGNIFICANT base $\beta$ DIGITS.
Source: A Friendly Introduction to Numerical Analysis by Brian Bradie.