There are statements that have not, and perhaps cannot, be proved. Data
can be displayed, and patterns can be anticipated, but a proof requires
a logical process. Statistics can be used to establish a link between
events, but often the reliability factor is established at only 95%.
Accounting firms will retest a hypothesis using a larger sample if the
initial hypothesis test fails. Even then two types of errors exist for
each hypothesis: rejecting it by mistake, and incorrectly accepting it.
It is similar to `reasonable doubt', although some will believe the
statistical claims (at least until another study is released). Any
statement can be proved false by one counter example. A correct example
though, only illustrates there may be a possible proof. In this book,
you will explore common methods of mathematical proof using various
topics. Consider it as a supplement to a text.